{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":20,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":20,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"07d0adf3103e","filters":{"venue":"International Journal of Innovative Technology and Exploring Engineering"}},"results":[{"id":"W4255316375","doi":"10.35940/ijitee.a4215.119119","title":"BOSA: Binary Orientation Search Algorithm","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Benchmark (surveying); Orientation (vector space); Binary number; Algorithm; Computer science; Binary search algorithm; Optimization algorithm; Search algorithm; Mathematical optimization; Mathematics; Arithmetic","authors":[{"name":"Mohammad Dehghani","is_ca":true},{"name":"Zeinab Montazeri","is_ca":true},{"name":"Om Parkash","is_ca":true},{"name":"Gaurav Dhiman","is_ca":true},{"name":"Vijay Kumar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02446113224111164,"gpt":0.2801468312143471,"spread":0.2556856989732355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005628177,0.0008987773,0.001063539,0.0009269177,0.0005855316,0.001043491,0.001113645,0.001078962,0.006615449],"category_scores_gemma":[0.001557846,0.0003095371,0.0007116948,0.001366703,0.0004764811,0.0009974255,0.0008960787,0.001123757,0.002207619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004726075,"about_ca_system_score_gemma":0.001528186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005066633,"about_ca_topic_score_gemma":0.004246393,"domain_scores_codex":[0.9994789,0.0001731897,0.00003205659,0.00006900517,0.0001696798,0.00007728236],"domain_scores_gemma":[0.9996953,0.0001055862,0.00004390932,0.00003230379,0.00009534173,0.00002762447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003578287,0.0002695865,0.002946442,0.0004146458,0.0001547684,0.0001390743,0.0001189135,0.4786865,0.00638007,0.04127193,0.02830983,0.4409505],"study_design_scores_gemma":[0.0001437767,0.000138092,0.0005135666,0.0000532851,0.00003730238,0.0001175148,0.00003753501,0.9625198,0.00240111,0.01258593,0.02142769,0.00002449548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01898369,0.002117063,0.9506692,0.0005947958,0.0003107305,0.0002277956,0.0003881947,0.002701978,0.02400661],"genre_scores_gemma":[0.3321897,0.001690252,0.6446383,0.0007371143,0.0001581618,0.0008164388,0.001577079,0.0005618298,0.01763113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006615449,"threshold_uncertainty_score":0.02213091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4232540412","doi":"10.35940/ijitee.b1122.1292s319","title":"Strengths and Weaknesses of Education 4.0 in the Higher Education Institution","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Educational Leadership and Innovation","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact","funders":"","keywords":"Strengths and weaknesses; Higher education; Medical education; Session (web analytics); Pedagogy; Psychology; Sociology; Engineering; Political science; Business; Medicine","authors":[{"name":"R. D. Lawrence","is_ca":true},{"name":"L. Fung","is_ca":true},{"name":"Haslinda Abdullah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02741412219638052,"gpt":0.3292085676436151,"spread":0.3017944454472346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01516508,0.0003283012,0.0003148153,0.001836601,0.003082892,0.006337801,0.001090663,0.001001537,0.001933194],"category_scores_gemma":[0.01617032,0.0003279712,0.000316227,0.001678123,0.003768239,0.002948037,0.006174906,0.001356621,0.0003681391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006681012,"about_ca_system_score_gemma":0.01693217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009309138,"about_ca_topic_score_gemma":0.01478815,"domain_scores_codex":[0.9853129,0.007577586,0.001069339,0.0005587434,0.003528683,0.001952766],"domain_scores_gemma":[0.9797422,0.006472149,0.00325033,0.001017792,0.004778686,0.004738753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002697558,0.0003668766,0.3247474,0.002261746,0.0002061979,0.002418355,0.1039871,0.001725742,0.004175277,0.04067057,0.007890046,0.5112809],"study_design_scores_gemma":[0.00003731633,0.001249339,0.365262,0.005711019,0.0002085274,0.003526104,0.33725,0.00198922,0.005366201,0.0214846,0.2576408,0.0002747792],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995371,0.002898549,0.002744668,0.02497896,0.0001529178,0.0001077003,0.00005947957,0.00007355859,0.06944714],"genre_scores_gemma":[0.9926466,0.0007729175,0.00178237,0.001059136,0.00001324785,0.00001945249,0.0000135541,0.000007149167,0.003685564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01516508,"threshold_uncertainty_score":0.08020157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2979762131","doi":"10.35940/ijitee.i3321.0789s319","title":"Learning Quality Innovation through Integration of Pedagogical Skill and Adaptive Technology","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Educational Theory and Curriculum Studies","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Athabasca University","keywords":"Flexibility (engineering); Quality (philosophy); Process (computing); Thematic analysis; Learning environment; Computer science; Mathematics education; Adaptive learning; Knowledge management; Psychology; Pedagogy; Sociology; Qualitative research; Management","authors":[{"name":"Miftachul Huda","is_ca":false},{"name":"Azmil Hashim","is_ca":false},{"name":"Kamarul Shukri","is_ca":false},{"name":"Mat Teh","is_ca":false},{"name":"Universiti Sultan","is_ca":false},{"name":"Zainal Abidin","is_ca":false},{"name":"Malaysia Shankar","is_ca":false},{"name":"B. Ayshwarya","is_ca":false},{"name":"Thanh Phong","is_ca":false},{"name":"Wahidah Hashim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1126826760252828,"gpt":0.3949140062770864,"spread":0.2822313302518036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002838644,0.0002278184,0.0002870812,0.00175692,0.0006601716,0.005509755,0.0005886203,0.0008418988,0.002447128],"category_scores_gemma":[0.005993253,0.0001491089,0.0007089627,0.001074492,0.002907221,0.004032942,0.003694087,0.0009355124,0.0003775197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345621,"about_ca_system_score_gemma":0.002341607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005559034,"about_ca_topic_score_gemma":0.0006903589,"domain_scores_codex":[0.9968534,0.001526172,0.0001909075,0.0003036042,0.0008633222,0.0002625336],"domain_scores_gemma":[0.995096,0.003182239,0.00053956,0.0004245141,0.0004839312,0.0002736387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000855602,0.0006211984,0.01961713,0.002936947,0.0001837513,0.0007192839,0.02561026,0.002795008,0.008549503,0.2548959,0.002892407,0.6810931],"study_design_scores_gemma":[0.0002426016,0.002128568,0.09362137,0.004434259,0.0006397179,0.003656234,0.03528652,0.01994848,0.01656677,0.4612673,0.3620242,0.0001839126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3998525,0.00984649,0.2219463,0.01266944,0.0004083585,0.0006557143,0.00008741344,0.0006386446,0.3538952],"genre_scores_gemma":[0.9518042,0.002173915,0.03913637,0.0004574929,0.0001005236,0.000138292,0.00003079094,0.00003069607,0.006127708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005509755,"threshold_uncertainty_score":0.01501232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2979536896","doi":"10.35940/ijitee.f1239.0486s419","title":"University Towns: Emerging Sector in India","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Metropolitan area; Census; Geography; Population; Economic growth; Locality; Population growth; Regional science; Socioeconomics; Sociology; Demography; Economics; Archaeology","authors":[{"name":"Choyimanikandiyil Kala","is_ca":true},{"name":"India Fab","is_ca":true},{"name":"Louis Philip","is_ca":true},{"name":"V.W. Lee","is_ca":true},{"name":"Allen Heusen","is_ca":true},{"name":"Pepe Jeans","is_ca":true},{"name":"C. Day","is_ca":true},{"name":"Pizza Hut","is_ca":true},{"name":"Baskin Robbins","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02337748266334631,"gpt":0.2442855102818857,"spread":0.2209080276185394,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001976671,0.0001489486,0.0001238502,0.001312756,0.003772676,0.004577116,0.0006692691,0.0003711849,0.008599308],"category_scores_gemma":[0.0003976683,0.0001773962,0.0002134516,0.003071419,0.001338223,0.001326219,0.002861471,0.0009989357,0.0009465466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00199333,"about_ca_system_score_gemma":0.002644028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02777554,"about_ca_topic_score_gemma":0.06481116,"domain_scores_codex":[0.9995352,0.0000676314,0.00001938648,0.00005541867,0.00007494815,0.0002474206],"domain_scores_gemma":[0.9993457,0.0001110972,0.0001328736,0.00003924391,0.00008193671,0.000289136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001814651,0.000500711,0.3905592,0.0007255775,0.00003744847,0.01967213,0.227263,0.000524173,0.004322063,0.1359363,0.04355799,0.1767199],"study_design_scores_gemma":[0.000005165133,0.0001146056,0.428022,0.0001546472,0.00001871454,0.004112954,0.3113824,0.0001756421,0.0005711063,0.00208246,0.2533172,0.00004310388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492267,0.002426499,0.0004631204,0.00474375,0.0001480285,0.0000785284,0.0007991066,0.00006919706,0.1420452],"genre_scores_gemma":[0.9744606,0.002864553,0.0003028078,0.0005237272,0.00004295879,0.00002374103,0.0002206262,0.0000137999,0.02154713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02777554,"threshold_uncertainty_score":0.0552277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234892704","doi":"10.35940/ijitee.f1154.0486s419","title":"Factors affecting Students Continue Intention to Use MOOCs, Benefits and Drawbacks. A Research Paper from the UAE Context","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McGill University; Utah Agricultural Experiment Station","keywords":"Functional illiteracy; Quality (philosophy); Context (archaeology); Monopoly; Key (lock); Public relations; Socioeconomic status; Business; Political science; Marketing; Economic growth; Sociology; Economics; Computer science","authors":[{"name":"Salem Aldahmani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06305531150767972,"gpt":0.3330880025000028,"spread":0.270032690992323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001281406,0.0002532684,0.0003309882,0.00139098,0.001146946,0.002553242,0.0003305294,0.0008066972,0.003779646],"category_scores_gemma":[0.005884546,0.0001700654,0.0006489368,0.0009350851,0.0005380836,0.001027368,0.001091823,0.001324211,0.0006469813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006787676,"about_ca_system_score_gemma":0.001235272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007748381,"about_ca_topic_score_gemma":0.009892734,"domain_scores_codex":[0.9990903,0.0002242719,0.00009775279,0.00009353451,0.0002622755,0.0002317957],"domain_scores_gemma":[0.9950839,0.001661451,0.001059081,0.00009254842,0.0008777618,0.001225214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005865135,0.0007728615,0.9694334,0.0001051122,0.00004246982,0.0002699311,0.006993128,0.00005376713,0.0001772589,0.0003181199,0.001125626,0.02064966],"study_design_scores_gemma":[0.00000528508,0.0002720238,0.9660648,0.0001772261,0.00007683459,0.0002271383,0.0279517,0.0004800097,0.0002370969,0.00020334,0.004274291,0.00003027821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964409,0.0005704944,0.00008287399,0.0006104845,0.00003103223,0.00001679854,0.00008423898,0.000004971268,0.00215825],"genre_scores_gemma":[0.9983457,0.0003204378,0.00006661885,0.0001114044,0.00001448403,0.00001178381,0.0000667148,0.000002728798,0.001060122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007748381,"threshold_uncertainty_score":0.01540661,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283070194","doi":"10.35940/ijitee.h9119.0711822","title":"Machine Learning Based Password Strength Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Password; Computer science; Password strength; Cognitive password; Password cracking; Computer security; Random forest; S/KEY; One-time password; Artificial intelligence","authors":[{"name":"Mrs. Sony Kuriakose","is_ca":true},{"name":"G Krishna Teja","is_ca":true},{"name":"A Harshel Srivatsava","is_ca":true},{"name":"Sravan Duggi","is_ca":true},{"name":"Venkat Jonnalagadda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01860118819944722,"gpt":0.2332170742729812,"spread":0.2146158860735339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135583,0.0006251066,0.0007534261,0.002148908,0.0003315102,0.001094182,0.0006736475,0.000603838,0.004694483],"category_scores_gemma":[0.007140402,0.0001681527,0.0006263091,0.001145537,0.0002492584,0.001231321,0.0005744132,0.0007200238,0.003237712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004160534,"about_ca_system_score_gemma":0.0004812963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562331,"about_ca_topic_score_gemma":0.001154238,"domain_scores_codex":[0.9983128,0.0003138173,0.0001630238,0.0002544845,0.0007516406,0.0002041411],"domain_scores_gemma":[0.9963393,0.001183786,0.0004483105,0.0003891679,0.001517374,0.0001220135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007959487,0.0006045328,0.05881964,0.000431008,0.0002473761,0.0004491971,0.0001669875,0.08315335,0.01889316,0.005029395,0.01254643,0.818863],"study_design_scores_gemma":[0.00002471031,0.0003791817,0.02195508,0.00005372148,0.00006349708,0.0007394241,0.0000840203,0.9501493,0.01698445,0.003108937,0.006402586,0.00005499366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3218463,0.001428059,0.6452942,0.0006685013,0.000422645,0.000591327,0.002612515,0.008640969,0.01849541],"genre_scores_gemma":[0.9362869,0.0002939288,0.05673533,0.0001003828,0.00005306953,0.00009468907,0.001330845,0.00005316511,0.005051613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004694483,"threshold_uncertainty_score":0.01570463,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234300208","doi":"10.35940/k1604.j9938.0881119","title":"E-Metering and Fault Detection in Smart Water Distribution Systems using Wireless Network","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Software deployment; Wireless sensor network; Computer science; Real-time computing; Smart meter; Metering mode; Data collection; Wireless network; Wireless; Embedded system; Telecommunications; Computer network; Smart grid; Engineering; Electrical engineering; Operating system","authors":[{"name":"M. Karthik","is_ca":true},{"name":"B. Gunapriya","is_ca":true},{"name":"P. Vivek","is_ca":true},{"name":"A. Vishalakshi","is_ca":true},{"name":"M. Gayathiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01211193073199183,"gpt":0.2069101394402172,"spread":0.1947982087082254,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003350172,0.0002627789,0.0003326363,0.0003382903,0.0002529373,0.0005543824,0.0003630506,0.0004235901,0.001592194],"category_scores_gemma":[0.0009120618,0.0001868453,0.0002690099,0.0003518216,0.0002710249,0.001230869,0.0003228096,0.0002669794,0.0001960489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801164,"about_ca_system_score_gemma":0.00033567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004121291,"about_ca_topic_score_gemma":0.00293456,"domain_scores_codex":[0.9997509,0.00009104796,0.00001649588,0.00004808178,0.00006644974,0.00002695701],"domain_scores_gemma":[0.9997014,0.0001491286,0.00005016412,0.00002417935,0.00006386499,0.00001117818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002164537,0.00008761723,0.006276855,0.0001492092,0.00004009948,0.0002862445,0.0001146506,0.9247398,0.006707678,0.005832007,0.0008563433,0.05469313],"study_design_scores_gemma":[0.00001094486,0.00008369923,0.000783038,0.000009944275,0.000009154764,0.00005825499,0.00002612338,0.9941087,0.002490947,0.001607875,0.0008056373,0.000005643131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2448392,0.000685203,0.7428605,0.0005591062,0.0001281155,0.0001277142,0.0002059272,0.001556155,0.009038075],"genre_scores_gemma":[0.9789672,0.0002402154,0.01802788,0.00002741048,0.00001010058,0.00003901429,0.00005662553,0.00001798892,0.002613392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004121291,"threshold_uncertainty_score":0.008194625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283075535","doi":"10.35940/ijitee.g9996.0711822","title":"Review Paper on E-Traffic Police IoT Based Auto-Detection of Traffic Rule Violation","year":2022,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer security; Jump; Internet of Things; Focus (optics); SIGNAL (programming language); Government (linguistics); Transport engineering; Computer science; Engineering","authors":[{"name":"Mrs. Priya N","is_ca":true},{"name":"G Sai Mani Kumar","is_ca":true},{"name":"Bijender Kumar","is_ca":true},{"name":"M. Vinay Kumar Reddy","is_ca":true},{"name":"B Sree Harsha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01408840309120579,"gpt":0.2295263084892918,"spread":0.215437905398086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004621679,0.0006675943,0.0006615408,0.002085818,0.0002675728,0.001544512,0.0008248837,0.001073582,0.005446559],"category_scores_gemma":[0.001835097,0.0002131313,0.0006209204,0.002242518,0.0001977163,0.00177427,0.0004059794,0.000502519,0.002393196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686193,"about_ca_system_score_gemma":0.0007865843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149307,"about_ca_topic_score_gemma":0.001504291,"domain_scores_codex":[0.99959,0.00006514412,0.00005712103,0.0001040389,0.0001539557,0.00002986491],"domain_scores_gemma":[0.998582,0.0006530856,0.0001278598,0.00004005112,0.0005540663,0.00004304893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001851137,0.000101678,0.004044135,0.02006425,0.0002059629,0.0009258945,0.0002064548,0.001214375,0.003436217,0.004174545,0.07421478,0.8912266],"study_design_scores_gemma":[0.00003046782,0.0003640664,0.00960466,0.01052453,0.0008719924,0.005782226,0.001013723,0.005178125,0.005723964,0.003282978,0.9575135,0.0001098048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007527884,0.9347427,0.01807764,0.002453957,0.005740081,0.0001848065,0.0006923087,0.0003697387,0.03021089],"genre_scores_gemma":[0.05038867,0.9164177,0.009978327,0.002115346,0.003594192,0.0001324454,0.001238018,0.00004817391,0.0160872],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005446559,"threshold_uncertainty_score":0.01822054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406815189","doi":"10.35940/ijitee.b1032.14020125","title":"Mitigating DDoS Attacks in Virtual Machine Migration: An In-Depth Security Framework Utilizing Deep Learning and Advanced Encryption Techniques","year":2025,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Denial-of-service attack; Computer science; Encryption; Virtual machine; Deep learning; Computer security; Artificial intelligence; Operating system; The Internet","authors":[{"name":"Venkata Subramanian N.","is_ca":false},{"name":"V. S. Shankar Sriram","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01089775811017197,"gpt":0.2750543617412415,"spread":0.2641566036310695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005320406,0.0005871139,0.0003573297,0.0004288747,0.0002832696,0.0006757617,0.0007427853,0.0005616243,0.0005045475],"category_scores_gemma":[0.0009107392,0.0001549864,0.0004096544,0.0002167647,0.0004272517,0.001235768,0.0007065624,0.0008141238,0.0001830462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006093947,"about_ca_system_score_gemma":0.0008651541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784453,"about_ca_topic_score_gemma":0.002530181,"domain_scores_codex":[0.999745,0.00004849484,0.00001916159,0.00005458207,0.00007646522,0.00005620722],"domain_scores_gemma":[0.999716,0.00006077425,0.00005734362,0.0000523318,0.00009397446,0.00001959477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002170961,0.00028186,0.005989205,0.000154103,0.000102574,0.0001828975,0.0001273431,0.4994147,0.04183569,0.009268981,0.002227308,0.4401982],"study_design_scores_gemma":[0.000003531168,0.00009505794,0.0006267781,0.00001275891,0.00001516213,0.00005583986,0.00002554305,0.9833504,0.01122249,0.003375868,0.001208146,0.000008420507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1564566,0.001514134,0.8357356,0.0007441114,0.0001285079,0.0001027058,0.00008329123,0.001381412,0.003853592],"genre_scores_gemma":[0.9295934,0.0006964812,0.0666969,0.0002137058,0.00003473576,0.00004586284,0.0001302253,0.00002596851,0.002562738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001784453,"threshold_uncertainty_score":0.004421532,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213324158","doi":"10.35940/ijitee.f4707.049620","title":"Cardiovascular Disease Risk Factors among White-Collar Workers towards Healthy Communities in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Big data; Health care; Government (linguistics); Disease; Business; Social media; Analytics; Medicine; Public relations; Environmental health; Economic growth; Political science; Data science; Computer science; Data mining; Economics; Pathology","authors":[{"name":"Suziyanti Marjudi","is_ca":false},{"name":"Roziyani Setik","is_ca":false},{"name":"Raja Mohd Tariqi Raja Lope Ahmad","is_ca":false},{"name":"Wan Azlan Wan Hassan Wan Harun","is_ca":false},{"name":"Syahirah Ismail","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1258770848703906,"gpt":0.3625754710356824,"spread":0.2366983861652918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004321908,0.0002557525,0.0002143291,0.0006719342,0.000893986,0.0008907486,0.0002534558,0.0003399033,0.002205141],"category_scores_gemma":[0.0009658686,0.0002315034,0.0002872082,0.0005405173,0.0003046174,0.0005244924,0.0007271431,0.0006764089,0.0003779712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004501467,"about_ca_system_score_gemma":0.000721895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03811802,"about_ca_topic_score_gemma":0.05191038,"domain_scores_codex":[0.999728,0.00004887516,0.00002538535,0.00005392047,0.00006910484,0.00007469329],"domain_scores_gemma":[0.9993615,0.00006272706,0.0001896308,0.00002109127,0.0001197032,0.000245346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003568375,0.000114127,0.9894693,0.00004629992,0.00001842484,0.0002799089,0.004463197,0.00001698247,0.000316644,0.00004037876,0.0005549088,0.004644234],"study_design_scores_gemma":[0.000002701192,0.0001152565,0.9844872,0.00006381959,0.00001222132,0.0002186522,0.01426683,0.00008272892,0.00006438082,0.00002934345,0.0006472227,0.00000954725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984665,0.0001710771,0.00002178052,0.0002628076,0.0000114962,0.00001015157,0.0001857344,0.000001275243,0.0008692627],"genre_scores_gemma":[0.9984397,0.0003571111,0.00006023816,0.0001717268,0.0000103538,0.00001137724,0.0001431929,0.000001466195,0.0008048221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03811802,"threshold_uncertainty_score":0.07579231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234661091","doi":"10.35940/ijitee.b7910.129219","title":"Structural Response of Tall Buildings under Dynamic Wind Loading (Various Codal Provisions)","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Structural engineering; Hull; Engineering; Structural dynamics; Displacement (psychology); Marine engineering; Finite element method","authors":[{"name":"Shivam Shridhar","is_ca":false},{"name":"Savita Maru","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009565195830530242,"gpt":0.2307537284987955,"spread":0.2211885326682653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001908558,0.0003373287,0.000201259,0.0004845573,0.0002824541,0.0003772121,0.0001883503,0.0003693702,0.001776368],"category_scores_gemma":[0.000371666,0.0001405635,0.0002889652,0.0003069636,0.0002446444,0.000220999,0.0003002775,0.0001913448,0.0003009146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001699,"about_ca_system_score_gemma":0.0001221921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004715499,"about_ca_topic_score_gemma":0.01013901,"domain_scores_codex":[0.9998118,0.00001959298,0.0000108333,0.00002632549,0.00008403487,0.00004741966],"domain_scores_gemma":[0.9998097,0.0000464975,0.00003525411,0.00002544613,0.00005650152,0.00002665039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001344796,0.0004118192,0.3238693,0.0003077516,0.0001218096,0.001537735,0.001412889,0.2645888,0.3163072,0.0008772934,0.001209819,0.08801071],"study_design_scores_gemma":[0.00002115114,0.001994393,0.8121352,0.0000452097,0.00009829214,0.0004999553,0.002928477,0.1298348,0.05022302,0.0004669458,0.001694339,0.00005837451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979427,0.00002377652,0.0008269788,0.000007729773,0.000004363879,0.000005814658,0.0001221288,0.00001625096,0.001050257],"genre_scores_gemma":[0.9991147,0.00002216198,0.0002782418,0.000002564058,9.15517e-7,0.000003105092,0.0001446135,0.000002604367,0.0004310661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004715499,"threshold_uncertainty_score":0.009376109,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4244567740","doi":"10.35940/ijitee.i8904.0881019","title":"Incorporation of Long Term Climate Changes in Hydrological Modelling","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Downscaling; Climate change; Environmental science; Precipitation; GCM transcription factors; Climatology; Representative Concentration Pathways; General Circulation Model; Climate model; Vegetation (pathology); Drainage basin; Meteorology; Geography; Geology","authors":[{"name":"J. R. Rajeswari","is_ca":false},{"name":"P. N. Chandramouli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03192367112930633,"gpt":0.2395886739405773,"spread":0.2076650028112709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007456402,0.0002955438,0.00032596,0.0003311577,0.0003230411,0.00110462,0.001150275,0.0009450651,0.002032077],"category_scores_gemma":[0.001543964,0.0002670397,0.0005312382,0.001014963,0.0003238524,0.001781964,0.0005762329,0.0008672932,0.0002434391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009360464,"about_ca_system_score_gemma":0.001175371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164416,"about_ca_topic_score_gemma":0.03695483,"domain_scores_codex":[0.9997439,0.0001168267,0.00001751401,0.00004517105,0.00004931864,0.00002728558],"domain_scores_gemma":[0.9995227,0.0002163175,0.00005042743,0.00006994968,0.0001046159,0.00003605082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003320046,0.00008528701,0.01002505,0.00006355831,0.0001043419,0.00007468266,0.00007545439,0.9676774,0.001022385,0.00547401,0.0007531482,0.01461146],"study_design_scores_gemma":[0.00001365625,0.00003354806,0.005201194,0.00001708587,0.00003674968,0.0000235123,0.00004546517,0.9868106,0.0004548352,0.002416142,0.004925272,0.0000220263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6947637,0.002183851,0.2444831,0.002922118,0.0007069254,0.0002537145,0.006386441,0.001081042,0.04721912],"genre_scores_gemma":[0.9697124,0.001006909,0.02396784,0.0001558865,0.00008184055,0.00009719685,0.0008878714,0.00009708967,0.003992873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02164416,"threshold_uncertainty_score":0.0430364,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4240138812","doi":"10.35940/ijitee.l7904.1091220","title":"B40 Group Income Household Trend in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Actua","funders":"","keywords":"Income distribution; Distribution (mathematics); Household income; Economics; Goodness of fit; Econometrics; Weibull distribution; Statistics; Inequality; Geography; Mathematics","authors":[{"name":"Humaida Banu Samsudin","is_ca":true},{"name":"Norsyasya Aina Mohd Mokhtar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06021237471809466,"gpt":0.2892744026821931,"spread":0.2290620279640985,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002559225,0.0001242617,0.0001046155,0.000905221,0.0002882371,0.000439701,0.0001398701,0.0001477725,0.002565882],"category_scores_gemma":[0.0005293906,0.00006909481,0.0001740234,0.00141479,0.0001335316,0.0004319726,0.0003425954,0.0002628581,0.0003855112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000580902,"about_ca_system_score_gemma":0.0005031008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03681768,"about_ca_topic_score_gemma":0.03414349,"domain_scores_codex":[0.999832,0.00002710948,0.00001831355,0.00003193863,0.00004439736,0.0000462152],"domain_scores_gemma":[0.9996746,0.00002744863,0.0001464368,0.00001263981,0.00009114595,0.000047759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005516259,0.00004700117,0.9633546,0.00008701945,0.00003466016,0.0002324217,0.001421858,0.000654094,0.0003542734,0.001422224,0.003303203,0.02903355],"study_design_scores_gemma":[0.00000100281,0.00004444027,0.991829,0.00004994868,0.000007444138,0.0001689884,0.00201748,0.001063995,0.0001687446,0.0001655084,0.00447469,0.000008762659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898604,0.0004150145,0.0002858277,0.0003262922,0.00001195951,0.00002357696,0.003426154,0.00001866748,0.005632284],"genre_scores_gemma":[0.9955485,0.0004056464,0.0004187601,0.00003673871,0.000006134094,0.00002141881,0.001566498,0.000003355684,0.001992961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03681768,"threshold_uncertainty_score":0.07320672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386174822","doi":"10.35940/ijitee.i9696.0812923","title":"A Comparative Evaluation of Diverse Deep Learning Models for the COVID-19 Prediction","year":2023,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Deep learning; Computer science; Artificial intelligence; Coronavirus disease 2019 (COVID-19); Field (mathematics); Convolutional neural network; Pandemic; Machine learning; Health care; Data science; Disease; Medicine; Pathology; Infectious disease (medical specialty)","authors":[{"name":"Bhautik Daxini","is_ca":false},{"name":"R. Shukla","is_ca":false},{"name":"Rohit M. Thanki","is_ca":false},{"name":"Viral Thakar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2289157552339253,"gpt":0.3911381131918014,"spread":0.1622223579578761,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004866426,0.00290837,0.001646117,0.002198399,0.0006134242,0.001426287,0.001917632,0.002133393,0.002266582],"category_scores_gemma":[0.007995741,0.0005345932,0.001529295,0.001170592,0.0005060948,0.00186829,0.0011909,0.002054684,0.0008967244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710202,"about_ca_system_score_gemma":0.002089727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03355712,"about_ca_topic_score_gemma":0.02366302,"domain_scores_codex":[0.9981396,0.0005158374,0.0002336696,0.0004123611,0.0003908157,0.0003076516],"domain_scores_gemma":[0.9956396,0.002326077,0.0002237234,0.0002613071,0.00123269,0.0003165849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005739721,0.001907878,0.03261661,0.001347056,0.001411921,0.0004157524,0.0001239699,0.5608817,0.003284769,0.001494765,0.0219019,0.368874],"study_design_scores_gemma":[0.0001039023,0.0007457667,0.00405471,0.0001436119,0.000200149,0.00006293808,0.00008680304,0.9901731,0.002244881,0.0006617907,0.001484701,0.00003758344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8449437,0.04257258,0.07182211,0.003990689,0.00244738,0.0004405724,0.006320265,0.006618548,0.0208442],"genre_scores_gemma":[0.9504524,0.006031002,0.027056,0.0006739735,0.0002301908,0.0001807066,0.009623091,0.0002444802,0.005508192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03355712,"threshold_uncertainty_score":0.06672359,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4241514372","doi":"10.35940/ijitee.b1070.1292s19","title":"Modelling and Simulation of Tri-layered (s-Si/s-SiGe/s-Si) Channel Double Gate Nano FET","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Materials science; Optoelectronics; Miniaturization; Transistor; MOSFET; Short-channel effect; Subthreshold slope; Field-effect transistor; Subthreshold conduction; Silicon; Threshold voltage; Gate oxide; Drain-induced barrier lowering; Reverse short-channel effect; Electron mobility; Channel (broadcasting); Leakage (economics); Electrical engineering; Nanotechnology; Voltage; Engineering","authors":[{"name":"Kuleen Kumar","is_ca":true},{"name":"Rudra Sankar Dhar","is_ca":true},{"name":"M Phil","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0438426676063445,"gpt":0.2576198883788428,"spread":0.2137772207724983,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001334294,0.0003577571,0.0005223901,0.0002596046,0.000430811,0.000658743,0.0008687322,0.001376475,0.00284299],"category_scores_gemma":[0.0003974976,0.0003171905,0.0005900009,0.0003471859,0.0003392044,0.000544315,0.0002991865,0.0003442688,0.0002828451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008503761,"about_ca_system_score_gemma":0.0009400586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01615715,"about_ca_topic_score_gemma":0.01354628,"domain_scores_codex":[0.9999141,0.00001167448,0.000003362963,0.00001245576,0.00002801113,0.00003048355],"domain_scores_gemma":[0.9998573,0.00006011785,0.00001863732,0.000009604428,0.00003618181,0.00001808494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004265386,0.00002903513,0.00102169,0.00006471349,0.00002109494,0.0001834262,0.00005032241,0.9900519,0.00523437,0.001604711,0.0004356269,0.001260411],"study_design_scores_gemma":[0.000006025171,0.00001756634,0.0002608385,0.000004366786,0.00000387817,0.00001107897,0.00001568696,0.9985619,0.0005553012,0.0001899035,0.0003695531,0.000003813416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876394,0.001289736,0.05655284,0.0008832613,0.0001809025,0.0001056199,0.001441474,0.0005617591,0.051345],"genre_scores_gemma":[0.9868307,0.0002882741,0.005518432,0.00005471543,0.00001360156,0.0001016844,0.000289252,0.00003732211,0.006865981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01615715,"threshold_uncertainty_score":0.03212619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4246128247","doi":"10.35940/ijitee.a4596.119119","title":"Effectiveness of Social Advertisements on Attitudes & Practices","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Education, Sociology, Communication Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Multitude; Stratified sampling; Advertising; Social marketing; Marketing; Sample (material); Business; Public relations; Political science","authors":[{"name":"Arcot Purna Prasad","is_ca":false},{"name":"G Vijaya Kumar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1179846872133391,"gpt":0.4386199982313411,"spread":0.320635311018002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00638298,0.0003363825,0.0004547349,0.001203197,0.0006844322,0.001860781,0.0004315251,0.0005884217,0.007467115],"category_scores_gemma":[0.03510303,0.0002380639,0.0006346166,0.0007599903,0.0007322169,0.0007843691,0.000915302,0.0009693907,0.0009786824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008035087,"about_ca_system_score_gemma":0.001294873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161321,"about_ca_topic_score_gemma":0.001228735,"domain_scores_codex":[0.9887956,0.005670864,0.000612389,0.0004392999,0.003934414,0.0005474332],"domain_scores_gemma":[0.9325734,0.05129883,0.007591303,0.001834697,0.003795437,0.002906309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003796043,0.01867069,0.5026785,0.001947771,0.000719931,0.0008775027,0.03597909,0.0007122849,0.004954466,0.002733655,0.003176185,0.4237539],"study_design_scores_gemma":[0.0001724774,0.01152827,0.9529358,0.0006228745,0.0007221045,0.0003607363,0.01320287,0.001129268,0.003811901,0.001075959,0.01437017,0.000067523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725046,0.0006468556,0.0001691597,0.0004895573,0.00008353632,0.0001724722,0.0001404837,0.0000235301,0.02576969],"genre_scores_gemma":[0.9954731,0.0003787868,0.0002910867,0.0001007726,0.00006289887,0.00008453803,0.00004780916,0.00000610713,0.003554897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007467115,"threshold_uncertainty_score":0.03375685,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4247424123","doi":"10.35940/ijitee.k2264.1081219","title":"Air Travel Compensation Procedure","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"International Law and Aviation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Harm; Legislation; Liability; Aviation; Business; Compensation (psychology); Convention; Charter; Scope (computer science); Work (physics); Doctrine; Air transport; Causation; Service (business); Law and economics; Law; Economics; Political science; Engineering; Transport engineering; Finance; Marketing","authors":[{"name":"Renata Romanovna Lenkovskaya","is_ca":false},{"name":"María Alexandrovna Volkova","is_ca":false},{"name":"Georgyi Nickolaevich Kuleshov","is_ca":false},{"name":"Alla Andreevna Neznamova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0201269191014968,"gpt":0.2704300199098718,"spread":0.250303100808375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004816467,0.0005891841,0.0004004095,0.002285318,0.004519112,0.003705369,0.00179573,0.00449828,0.02757995],"category_scores_gemma":[0.008572418,0.0002877078,0.0008761387,0.001323177,0.002135577,0.002090796,0.00242176,0.003249962,0.0113834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980961,"about_ca_system_score_gemma":0.007728214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009346133,"about_ca_topic_score_gemma":0.007255854,"domain_scores_codex":[0.9900208,0.001988443,0.000979783,0.001357721,0.004247335,0.001406004],"domain_scores_gemma":[0.9965185,0.0008713245,0.0002731573,0.0008413297,0.001366653,0.0001291185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001782773,0.0001354875,0.001841584,0.000181024,0.00002424662,0.0004392425,0.00178937,0.0006911163,0.002295165,0.8526416,0.0603401,0.07944286],"study_design_scores_gemma":[0.00005287716,0.0003293838,0.005888262,0.000249248,0.00005532734,0.001184131,0.001040669,0.001404773,0.004436568,0.03358785,0.9516611,0.0001098861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04471575,0.004173964,0.07959735,0.007203522,0.004193327,0.002886691,0.003219286,0.001110534,0.8528996],"genre_scores_gemma":[0.3987769,0.002690269,0.03299876,0.006827958,0.00167221,0.002415122,0.002600221,0.0002518441,0.5517666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02757995,"threshold_uncertainty_score":0.09226418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4251819049","doi":"10.35940/ijitee.b6499.129219","title":"Wave Induced Motions of Irregular Shaped Ice Mass close to Fixed Structure","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Geology; Heading (navigation); Kinematics; Wavelength; Submarine pipeline; Geodesy; Sea ice; Mechanics; Drift ice; Fast ice; Physics; Arctic ice pack; Climatology; Oceanography; Optics; Classical mechanics","authors":[{"name":"Faisal Althobiani","is_ca":true},{"name":"Tanvir Sayeed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01707160120724674,"gpt":0.2153328364053526,"spread":0.1982612351981059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006000054,0.000156877,0.0001627561,0.0003947822,0.0002133033,0.0002741597,0.0001493499,0.0001345252,0.001259937],"category_scores_gemma":[0.0002903958,0.00007776462,0.000134554,0.0002900873,0.0002451536,0.00017667,0.0002280539,0.0001720811,0.0002179235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625669,"about_ca_system_score_gemma":0.000156871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778506,"about_ca_topic_score_gemma":0.003021668,"domain_scores_codex":[0.9999532,0.000002905208,0.000002532033,0.00001112763,0.0000166546,0.00001359641],"domain_scores_gemma":[0.999858,0.00002478005,0.00004866156,0.0000170208,0.00002922158,0.00002231448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007280185,0.0002231296,0.1865014,0.0003175178,0.00007954087,0.002536639,0.001190938,0.04230085,0.6967397,0.001519274,0.000989544,0.06687339],"study_design_scores_gemma":[0.00002855127,0.001138624,0.8505242,0.0000346087,0.00004604768,0.0008925319,0.00207417,0.07090153,0.07062385,0.0008021271,0.002891441,0.00004241383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956145,0.00004975331,0.002609557,0.000008413705,0.000010723,0.000015835,0.00008255144,0.00002446048,0.001584146],"genre_scores_gemma":[0.9976771,0.00005536353,0.001383401,0.000006218686,0.000002994817,0.000005531183,0.0001385984,0.000006066965,0.0007248062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001778506,"threshold_uncertainty_score":0.004214883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4255706078","doi":"10.35940/ijitee.k2109.1081219","title":"The Present Trends and Challenges in Renewable Energy Sources Connected to a Grid","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Renewable energy; Smart grid; Grid; Electricity; Environmental economics; Computer science; Electricity system; Electricity generation; Risk analysis (engineering); Operations research; Telecommunications; Systems engineering; Business; Computer security; Power (physics); Engineering; Economics; Electrical engineering; Geography","authors":[{"name":"Fu Hua","is_ca":false},{"name":"Ameen Ezzi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02279881529069317,"gpt":0.2190819289017278,"spread":0.1962831136110346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007600261,0.0001809197,0.0002311018,0.001378642,0.0009153106,0.003950378,0.0004282444,0.001282203,0.002868807],"category_scores_gemma":[0.001983749,0.0001557039,0.0002602256,0.004313068,0.001210483,0.005695452,0.0007955889,0.001308854,0.0004935135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871768,"about_ca_system_score_gemma":0.00137398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003865023,"about_ca_topic_score_gemma":0.01027845,"domain_scores_codex":[0.9994018,0.000115445,0.0000561052,0.0001167523,0.0002340338,0.00007585375],"domain_scores_gemma":[0.9988012,0.000431446,0.0002970929,0.00006125307,0.0003395821,0.0000693985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001786347,0.0001657227,0.1101896,0.002767324,0.00006339145,0.002927696,0.0139109,0.007626158,0.005603583,0.3990691,0.03459136,0.4229065],"study_design_scores_gemma":[0.000006492643,0.0002047258,0.1132042,0.002252412,0.00006276747,0.005494726,0.06856242,0.008054294,0.003459546,0.1244393,0.6741062,0.0001528161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4918,0.1198653,0.0190229,0.1289644,0.001475767,0.00008584662,0.002168429,0.0002669852,0.2363504],"genre_scores_gemma":[0.8914018,0.08290395,0.006799786,0.003511166,0.000774666,0.00003632357,0.0006102146,0.00006001139,0.0139021],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003950378,"threshold_uncertainty_score":0.01358068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4235167712","doi":"10.35940/ijitee.l1117.10812s219","title":"Electricity Price Forecasting using a Hybrid of Neural Network and Genetic Algorithm","year":2019,"lang":"en","type":"article","venue":"International Journal of Innovative Technology and Exploring Engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Electricity price forecasting; Artificial neural network; Benchmark (surveying); Genetic algorithm; Electricity market; Computer science; Electricity; Energy (signal processing); Process (computing); Artificial intelligence; Machine learning; Engineering; Statistics; Mathematics","authors":[{"name":"Norahim Ibrahim","is_ca":false},{"name":"Intan Azmira Wan Abdul Razak","is_ca":false},{"name":"Zul Hasrizal Bohari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02026338774154441,"gpt":0.2149536152823047,"spread":0.1946902275407603,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004968852,0.0005867064,0.0007216088,0.0007506054,0.0003914413,0.0007752237,0.000998891,0.0009151424,0.0007884533],"category_scores_gemma":[0.001031878,0.0003299431,0.0006197837,0.0009979117,0.00026846,0.0009285308,0.0003600461,0.000588189,0.0001808385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007625598,"about_ca_system_score_gemma":0.0006355131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294418,"about_ca_topic_score_gemma":0.01736426,"domain_scores_codex":[0.9997088,0.00006788925,0.00001684921,0.0000568987,0.000114311,0.00003524373],"domain_scores_gemma":[0.9997267,0.0001271464,0.00002786804,0.00001500037,0.00009287247,0.00001038108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007119229,0.00009111253,0.001674436,0.00003201305,0.00009334902,0.0000594936,0.00002716697,0.9390486,0.001694959,0.001302808,0.0004088883,0.055496],"study_design_scores_gemma":[0.00000331673,0.0000169208,0.000190326,0.000001729696,0.000005789661,0.000005333305,0.000002396451,0.9992318,0.000235664,0.0002036056,0.0001002849,0.000002813621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2287278,0.001132942,0.7544178,0.0004838668,0.0002114068,0.0001373358,0.0001364988,0.001238754,0.01351361],"genre_scores_gemma":[0.9130065,0.0003971047,0.08223804,0.00009092318,0.00006230499,0.0001098749,0.0001283877,0.00003300726,0.003933836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02294418,"threshold_uncertainty_score":0.04562128,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}