{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":16,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":16,"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":"2dfe96512785","filters":{"venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY"}},"results":[{"id":"W213788180","doi":"10.24297/ijct.v12i5.2919","title":"The Eportfolio as Support for the Professional Development of Preservice Teachers: a Theoretical and Practical Overview","year":2014,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Electronic portfolio; Portfolio; Professional development; Teacher education; Presentation (obstetrics); Computer science; Pedagogy; Mathematics education; Psychology; Business","authors":[{"name":"Thierry Karsenti","is_ca":true},{"name":"Gabriel Dumouchel","is_ca":true},{"name":"Simon Collin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02698512644805442,"gpt":0.4450773966163627,"spread":0.4180922701683083,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003410955,0.00007053962,0.0001324136,0.0001217672,0.0003047451,0.00007428178,0.0006987152,0.0001028508,0.00003081442],"category_scores_gemma":[0.003686617,0.00004125146,0.00005314922,0.0001235901,0.0007805818,0.0002386651,0.0001755358,0.0003128817,0.000002261897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106498,"about_ca_system_score_gemma":0.0008067182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001254304,"about_ca_topic_score_gemma":0.00003243349,"domain_scores_codex":[0.9984667,0.0002341057,0.0004627054,0.0001030052,0.000583899,0.0001495472],"domain_scores_gemma":[0.9948182,0.003321427,0.0007487369,0.000116454,0.0009506292,0.00004461069],"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":[0.000127633,0.0001391908,0.001486321,0.000004584295,0.0002395709,0.000002762276,0.004717822,0.00000671198,0.00007025767,0.7919063,0.001547581,0.1997512],"study_design_scores_gemma":[0.000344729,0.0001565359,0.003348545,0.00006005048,0.00003897495,0.0002140358,0.002982435,0.0003823403,0.0004503146,0.1723139,0.8196452,0.0000629179],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.247119,0.001098387,0.2380252,0.4905395,0.01170222,0.0009800199,0.000001912188,0.00005123668,0.01048261],"genre_scores_gemma":[0.9689686,0.0003203015,0.02966471,0.0004913369,0.0003703901,0.00002204252,5.793934e-7,0.000006668941,0.0001553232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8180977,"threshold_uncertainty_score":0.4413491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802628754","doi":"10.24297/ijct.v5i3.3519","title":"VARIABLE GRAVITY FIELD AND THROUGHFLOW EFFECTS ON PENETRATIVE CONVECTION IN A POROUS LAYER","year":2013,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":20,"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":"Throughflow; Prandtl number; Mechanics; Convection; Porous medium; Internal heating; Perturbation (astronomy); Instability; Porosity; Geophysics; Geology; Physics; Geotechnical engineering","authors":[{"name":"Y. H. Gangadharaiah","is_ca":true},{"name":"Suma S. P","is_ca":true},{"name":"K. Ananda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003782953659616626,"gpt":0.2110386609360684,"spread":0.2072557072764518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006420945,0.00008901733,0.0001599504,0.0003820067,0.00001226937,0.00002746653,0.0001681649,0.0001246712,0.00002400767],"category_scores_gemma":[0.00001644127,0.00008098639,0.00002628815,0.000108345,0.00002156915,0.0001563913,0.0000158515,0.0003099479,0.000008262794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007075838,"about_ca_system_score_gemma":0.00001287447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003318466,"about_ca_topic_score_gemma":0.000009394755,"domain_scores_codex":[0.9994665,0.00001405519,0.0002124392,0.00007564284,0.0001226414,0.0001086755],"domain_scores_gemma":[0.9996542,0.0001270913,0.00002608571,0.00005328268,0.0001131566,0.00002615557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004426744,0.0006298619,0.05258827,0.0002432314,0.00167399,0.001124595,0.001565545,0.02858617,0.2878586,0.09047765,0.02536134,0.5094481],"study_design_scores_gemma":[0.01241124,0.005515775,0.08431362,0.001800073,0.00008796417,0.003156932,0.0002034311,0.06448937,0.6083695,0.2048763,0.01356062,0.00121518],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8315204,0.000329566,0.163853,0.002103038,0.001603753,0.0001128605,8.419238e-7,0.0000582775,0.0004182752],"genre_scores_gemma":[0.996087,0.00009936768,0.003392181,0.000286443,0.0001135578,0.000005567045,5.104459e-7,0.000007906504,0.000007529816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.508233,"threshold_uncertainty_score":0.3302529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1542005464","doi":"10.24297/ijct.v13i11.2781","title":"Overview of the levels of ICT and information literacy skills in Canadas preservice teachers","year":2014,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Information and Communications Technology; Information literacy; Literacy; Mathematics education; Pedagogy; Psychology; Computer science; World Wide Web","authors":[{"name":"Thierry Karsenti","is_ca":true},{"name":"Simon Collin","is_ca":true},{"name":"Gabriel Dumouchel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009401715440952174,"gpt":0.2959230108791659,"spread":0.2865212954382138,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006202463,0.00004853498,0.0001327283,0.0004552566,0.00003629285,0.00004505733,0.0008892929,0.00006129318,0.00002092464],"category_scores_gemma":[0.000273395,0.0000359127,0.00004201699,0.0003822261,0.0002033234,0.005756166,0.000120577,0.0001362137,7.188881e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004956843,"about_ca_system_score_gemma":0.00018785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004800943,"about_ca_topic_score_gemma":0.00006549128,"domain_scores_codex":[0.9988168,0.00007879499,0.0005509833,0.00003812469,0.0004243376,0.00009093659],"domain_scores_gemma":[0.998676,0.0001298094,0.0006659332,0.00009004228,0.0004089243,0.00002928797],"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":[0.00003012198,0.000101362,0.1213862,0.00004829935,0.00008709784,0.000002135072,0.05362549,0.001033675,0.0002295968,0.3495488,0.001311287,0.4725959],"study_design_scores_gemma":[0.001316023,0.0001643446,0.4295807,0.000744114,0.0000103108,0.0000504203,0.002270385,0.003129304,0.002011238,0.02442697,0.5361424,0.0001538036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734459,0.0001210297,0.002113823,0.02158413,0.0008011502,0.00009115697,0.000007941301,0.000008253626,0.001826629],"genre_scores_gemma":[0.9972094,0.00008952103,0.001341225,0.001294263,0.00004184903,4.834001e-7,5.736355e-7,0.000001258878,0.00002145856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5348311,"threshold_uncertainty_score":0.4173082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1492345494","doi":"10.24297/ijct.v14i4.1962","title":"An Ameliorated Methodology for Ranking the Tuple","year":2015,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":4,"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":"Ranking (information retrieval); Computer science; Tuple; Information retrieval; Web search query; Query optimization; Sorting; Task (project management); Sargable; Web query classification; Query expansion; Query language; View; Database; Search engine; Database design; Mathematics","authors":[{"name":"Ajeet A. Chikkamannur","is_ca":true},{"name":"Shivanand M. Handigund","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0873100512517525,"gpt":0.362472441262074,"spread":0.2751623900103215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001386033,0.00009849813,0.0001883815,0.0005812359,0.00004860681,0.0002004024,0.004333687,0.0000682546,0.00000192091],"category_scores_gemma":[0.0001712097,0.00006996978,0.00007390778,0.0003413984,0.00009487355,0.0007237229,0.0003946348,0.0001888748,0.000005497254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006522024,"about_ca_system_score_gemma":0.00008457618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005938142,"about_ca_topic_score_gemma":0.000002687485,"domain_scores_codex":[0.9988582,0.0001056423,0.0003703812,0.0001699612,0.0003225838,0.0001732935],"domain_scores_gemma":[0.9981795,0.0002000463,0.0003734416,0.0003252262,0.0008667936,0.00005498326],"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":[0.0001095131,0.0001405705,0.001046145,0.000002900271,0.0004328809,0.0001705661,0.0005583777,0.003902749,0.001022801,0.2578079,0.01587895,0.7189266],"study_design_scores_gemma":[0.004376983,0.001702006,0.0007846412,0.00006127201,0.00005335476,0.001455812,0.000516433,0.3423837,0.006198081,0.4137669,0.2283163,0.0003845317],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00984952,0.0001217967,0.9686159,0.01742305,0.003744893,0.0000948288,0.000002342371,0.00009202153,0.00005558465],"genre_scores_gemma":[0.4343399,0.00001425801,0.5641997,0.0009979863,0.000410456,0.000005197543,0.000004767213,0.000007466917,0.00002024146],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7185421,"threshold_uncertainty_score":0.8053142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1537659679","doi":"10.24297/ijct.v13i5.2535","title":"An Analysis of the PROMISE and ISBSG Software Engineering Data Repositories","year":2014,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Software Engineering Research","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Benchmarking; Computer science; Reusability; Software engineering; Data science; Software; Social software engineering; Software development; Software construction","authors":[{"name":"Laila Cheikhi","is_ca":false},{"name":"Alain Abran","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009101808855303768,"gpt":0.2672986059568117,"spread":0.2581967971015079,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004563608,0.00008551191,0.0002162558,0.0008862727,0.0000272057,0.00009349427,0.004479151,0.00006724992,8.100912e-7],"category_scores_gemma":[0.00113707,0.00006568433,0.00005876489,0.0007000534,0.00007929388,0.0004132067,0.00104951,0.0002368501,2.129622e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004567847,"about_ca_system_score_gemma":0.0000513198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008163803,"about_ca_topic_score_gemma":0.000002077599,"domain_scores_codex":[0.998863,0.00003296141,0.0003352348,0.0001932679,0.0004561166,0.0001194584],"domain_scores_gemma":[0.9980355,0.0004134114,0.0002438082,0.0008255222,0.0004350236,0.0000467358],"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":[0.00003554983,0.000212091,0.7288738,0.00003515636,0.003465952,0.0001043108,0.0006800526,0.1173259,0.005827059,0.02717381,0.0005171332,0.1157492],"study_design_scores_gemma":[0.0003909488,0.0001891712,0.2128914,0.00009479414,0.0001001286,0.0003976387,0.00001208037,0.7782301,0.004692496,0.0007379794,0.002122052,0.000141222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3027803,0.00007947759,0.6952583,0.0009654773,0.0008264617,0.00002718196,0.000002480368,0.00005929505,9.342739e-7],"genre_scores_gemma":[0.8895911,0.00000829342,0.1102726,0.00002484479,0.0000935301,7.281247e-7,0.000001315862,0.000005335527,0.000002294502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6609042,"threshold_uncertainty_score":0.8323452,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281720075","doi":"10.24297/ijct.v22i.9228","title":"Hyalite Sol-Gel Amoeba: A Physiology-Based Biophysical Model for Segmentation and Biotransformation of Medical Images To 3D Solid-State Characterizing Native Tissue Properties for Patient-Specific and Patient-Appropriate Analysis for Surgical Applications","year":2022,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Spaceflight effects on biology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Amoeba (genus); Amoeba proteus; Segmentation; Computer science; Artificial intelligence; Biology; Cell biology","authors":[{"name":"Harjeet Singh Gandhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01330145326101504,"gpt":0.2957694362998038,"spread":0.2824679830387887,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755574,0.0001522334,0.0005100329,0.001010271,0.0001023854,0.0000181137,0.0002122564,0.0001068926,0.000003510291],"category_scores_gemma":[0.00005495895,0.0001273308,0.0001480284,0.0002346493,0.000199688,0.00009556036,0.0001033729,0.0001688885,1.324006e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138503,"about_ca_system_score_gemma":0.00009726394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002766615,"about_ca_topic_score_gemma":0.000001177471,"domain_scores_codex":[0.9985284,0.00005182574,0.0006329175,0.0002551226,0.0003514942,0.0001801941],"domain_scores_gemma":[0.9983357,0.0002486039,0.0005124035,0.00009848633,0.0007222217,0.00008254407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00742679,0.0008367255,0.0005171906,0.0002437355,0.002163473,0.00001166834,0.002962586,0.01029725,0.7456464,0.001583517,0.0001710175,0.2281396],"study_design_scores_gemma":[0.008898459,0.006442662,0.0009530085,0.0001331452,0.0004435696,0.0002095679,0.0005988991,0.7266563,0.2473511,0.002127134,0.005884869,0.0003013802],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5121546,0.0001038817,0.4802564,0.00616263,0.0001039179,0.001006922,0.0001943563,0.00001668917,5.699641e-7],"genre_scores_gemma":[0.9633145,0.0000546761,0.03534945,0.0004057983,0.00006456242,0.0006534833,0.0001401981,0.00001510155,0.000002282662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.716359,"threshold_uncertainty_score":0.51924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281710530","doi":"10.24297/ijct.v22i.9229","title":"Patient-appropriate and patient-specific quantification: Application of biomedical sciences and engineering principles for the amelioration of outcomes following reconstruction of osteochondrotomy of the sternum to access the mediastinum","year":2022,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Bone fractures and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Sternum; Mediastinum; Finite element method; Soft tissue; Computer science; Surgical planning; Medicine; Biomedical engineering; Medical physics; Radiology; Surgery; Engineering; Structural engineering","authors":[{"name":"Harjeet Singh Gandhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01776384959190954,"gpt":0.2873102787410411,"spread":0.2695464291491316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134028,0.00005983615,0.0001839849,0.0002609239,0.00005958187,0.000008839424,0.0002897213,0.00003074326,0.000001629204],"category_scores_gemma":[0.00008809776,0.00003202572,0.0000701572,0.000241045,0.000200806,0.00006094317,0.0001776968,0.00009904727,1.561131e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002753827,"about_ca_system_score_gemma":0.00004110669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001305365,"about_ca_topic_score_gemma":0.000001756031,"domain_scores_codex":[0.998958,0.00002218603,0.0005012657,0.00008980231,0.000375663,0.00005311948],"domain_scores_gemma":[0.9986408,0.0002155372,0.0007791966,0.000117432,0.0002318556,0.00001515595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003952292,0.0003184143,0.2557883,0.00006796068,0.0007974968,0.000002603748,0.002017959,0.004907265,0.03598509,0.005097986,0.00003121596,0.6945904],"study_design_scores_gemma":[0.005922485,0.004275018,0.790253,0.0008297432,0.0004937064,0.0009198595,0.005831334,0.03384969,0.1449694,0.006363509,0.006036214,0.0002559633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962988,0.0002850447,0.03091659,0.004667889,0.000669382,0.0004525997,0.00001493748,0.000003505781,0.000002024375],"genre_scores_gemma":[0.9965204,0.00001823379,0.00338374,0.00002872656,0.00001632721,0.00002653884,0.000001774356,0.000003782068,4.791962e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6943345,"threshold_uncertainty_score":0.1305971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2800481273","doi":"10.24297/ijct.v5i3.3521","title":"Effects of Internal Heat Generation and Variable Viscosity on Onset of Rayleigh-Benard Convection","year":2013,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Fluid Dynamics and Turbulent Flows","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":"Convection; Instability; Viscosity; Internal heating; Mechanics; Perturbation (astronomy); Thermodynamics; Rayleigh number; Convective heat transfer; Convective instability; Physics; Natural convection","authors":[{"name":"Y. H. Gangadharaiah","is_ca":true},{"name":"S. P. Suma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002432839492183967,"gpt":0.1821134520046135,"spread":0.1796806125124296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008363155,0.00009407227,0.000209248,0.0004761708,0.00001147191,0.00001839049,0.0002248475,0.00009537111,0.00001243088],"category_scores_gemma":[0.00002354648,0.00008674514,0.00005016859,0.00008277358,0.00005486279,0.000125799,0.00004849517,0.000182912,0.000002014053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006747554,"about_ca_system_score_gemma":0.00001312291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003007971,"about_ca_topic_score_gemma":0.000001632194,"domain_scores_codex":[0.9992777,0.0000168125,0.0003670773,0.00007457355,0.0001819088,0.0000820013],"domain_scores_gemma":[0.9994343,0.00007235185,0.0001254883,0.00006982088,0.0002690577,0.0000289737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001660888,0.000397159,0.01084672,0.0001820404,0.001451706,0.00006357843,0.0002013994,0.3755796,0.5587551,0.01840603,0.005302555,0.02864799],"study_design_scores_gemma":[0.001270691,0.0005861261,0.00668854,0.000280182,0.00002880617,0.000304195,0.000005964939,0.8490595,0.1386343,0.002699923,0.0003250951,0.0001166816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8705133,0.000175379,0.1273007,0.0002447285,0.001613035,0.00007736986,0.000003133817,0.00002352754,0.00004877026],"genre_scores_gemma":[0.9956819,0.0001206293,0.004029011,0.00004644521,0.0001028959,0.000002287023,0.000002190684,0.000009193559,0.000005396606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4734799,"threshold_uncertainty_score":0.3537364,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4309844144","doi":"10.24297/ijct.v22i.9327","title":"Experimental Endoscope Rotitome-G: A pixel-by-pixel erasure microsurgical endoscopic sarcotome for resection of soft tissue tumours in closed body cavities","year":2022,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Soft tissue; Endoscope; Computer science; Biomedical engineering; Pixel; Medicine; Surgery; Artificial intelligence; Medical physics","authors":[{"name":"Harjeet Singh Gandhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01298355298320391,"gpt":0.2968796707156705,"spread":0.2838961177324666,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002606779,0.0001786713,0.0003962466,0.001091937,0.0001154717,0.00004390728,0.001097152,0.00009460013,0.00007846203],"category_scores_gemma":[0.0001305457,0.0001879403,0.0001411475,0.000368552,0.0002267579,0.0001987438,0.0003394547,0.0005170613,0.000002178663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004231654,"about_ca_system_score_gemma":0.0001334533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002820854,"about_ca_topic_score_gemma":0.000005324725,"domain_scores_codex":[0.9979188,0.0001092532,0.0007247811,0.000297865,0.000660569,0.0002886921],"domain_scores_gemma":[0.998956,0.0002153236,0.0004725333,0.0001363572,0.0001643917,0.00005537312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000703953,0.0005176922,0.001820612,0.00001119557,0.00003101718,0.000114859,0.0001945789,0.0005378604,0.992247,0.001459579,0.001139362,0.001222271],"study_design_scores_gemma":[0.003853233,0.003657213,0.000373221,0.00007527253,0.00001066753,0.001320437,0.0002732202,0.0009793516,0.9663514,0.001152351,0.02179337,0.000160249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857894,0.0006968225,0.008260537,0.001698816,0.003094365,0.0003070838,0.0000715046,0.00003903957,0.0000424154],"genre_scores_gemma":[0.9985222,0.00003178172,0.0008934828,0.0002124695,0.0001723932,0.00004480802,0.000006528006,0.00002237452,0.00009392871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0258956,"threshold_uncertainty_score":0.7663983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297229296","doi":"10.24297/ijct.v22i.9288","title":"In-silico patient-specific and patient-appropriate engineering method to judiciously select an ameliorative implant design in a single-patient using finite element-n-of-1 (fe-n-of-1) empirical test analysis to reconstruct mid-sagittal osteochondrotomy of the sternum following cardiac surgery","year":2022,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Finite element method; Implant; Test (biology); Sternum; Computer science; Test case; Protocol (science); Empirical research; Structural engineering; Engineering; Medicine; Surgery; Mathematics; Machine learning; Statistics","authors":[{"name":"Harjeet Singh Gandhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02064956318631478,"gpt":0.2867873549958081,"spread":0.2661377918094933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004954724,0.0001817464,0.0008234233,0.002635693,0.00003654496,0.00001329499,0.0002293018,0.00006534452,0.000006475184],"category_scores_gemma":[0.0001728649,0.0001494997,0.0002624174,0.001421296,0.00005528246,0.0001104949,0.0002929892,0.0003569015,8.628976e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366203,"about_ca_system_score_gemma":0.0001585889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003646779,"about_ca_topic_score_gemma":0.00000816033,"domain_scores_codex":[0.9974712,0.0002523811,0.001202903,0.0002465254,0.0005930035,0.0002339951],"domain_scores_gemma":[0.9981114,0.0006443005,0.0007293031,0.0001700043,0.000261917,0.00008302627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001019948,0.0008905805,0.6003217,0.00002451118,0.001624725,0.0007422191,0.006306705,0.08631746,0.09393802,0.00001592775,0.00007395128,0.2087243],"study_design_scores_gemma":[0.01196091,0.03701838,0.1729482,0.004308686,0.002247545,0.01120001,0.01861168,0.08098555,0.6524891,0.0006016019,0.005386201,0.002242175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617349,0.0001351509,0.03631686,0.0003488825,0.0009658018,0.00042751,0.00006158627,0.000007747952,0.000001542562],"genre_scores_gemma":[0.9677278,0.000006563869,0.03208629,0.000119718,0.00002846264,0.00001141107,0.000004768063,0.00001468842,2.317302e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.558551,"threshold_uncertainty_score":0.609642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1492878499","doi":"10.24297/ijct.v14i2.2077","title":"A Statistical Analysis and Datamining Approach for Wind Speed Predication","year":2014,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Energy Load and Power Forecasting","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":"Horizon College and Seminary","funders":"Jain University","keywords":"Wind speed; Wind power; Weibull distribution; Computer science; Artificial neural network; Data mining; Engineering; Meteorology; Artificial intelligence; Statistics; Geography","authors":[{"name":"Michael Mahesh K","is_ca":false},{"name":"Dr M V Vijayakumar","is_ca":false},{"name":"Gangadharaiah. Y.H .","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007839946743636412,"gpt":0.2348783121051017,"spread":0.2270383653614653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001894491,0.00006997232,0.0001676313,0.0006015223,0.00001866701,0.00003157958,0.0002612998,0.00006647293,0.000002907723],"category_scores_gemma":[0.00007506781,0.00006678724,0.00004030475,0.0001553616,0.00004943836,0.00008794505,0.00003834916,0.0001231043,2.649196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002755043,"about_ca_system_score_gemma":0.000007647482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001330239,"about_ca_topic_score_gemma":7.939165e-7,"domain_scores_codex":[0.999416,0.000009683523,0.0002671408,0.0000827189,0.0001309565,0.00009353358],"domain_scores_gemma":[0.9995426,0.0001286544,0.0001065344,0.00006846889,0.0001182411,0.00003551568],"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":[0.00007193004,0.00006509419,0.0281544,0.00003828165,0.002976668,0.00001389499,0.0002050775,0.7005266,0.001831625,0.01968027,0.001291083,0.2451451],"study_design_scores_gemma":[0.0004486266,0.0001001283,0.002997069,0.00002239705,0.0001188927,0.0001205671,0.00002054604,0.9908853,0.000486926,0.00135245,0.003372262,0.00007479636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09962782,0.00005669777,0.8994735,0.000163835,0.0004255911,0.00002401387,0.00001060837,0.00004482696,0.0001731018],"genre_scores_gemma":[0.8633823,0.00001543532,0.1363652,0.00002496269,0.0001712275,3.99504e-7,0.00002963378,0.00000729566,0.000003574872],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7637545,"threshold_uncertainty_score":0.2723504,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2732136469","doi":"10.24297/ijct.v12i10.2988","title":"SOADM: A Design Architectural Method for Service-as-a-Software","year":2014,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Software as a service; Service-orientation; Software engineering; Computer science; Service design; Service (business); Service-oriented architecture; Software; Service delivery framework; Engineering management; Systems engineering; Process management; Software development; Engineering; Web service; World Wide Web; Business","authors":[{"name":"Hamid Mcheick","is_ca":true},{"name":"Youcef Baghdadi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01040054671656815,"gpt":0.2820799541873403,"spread":0.2716794074707721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006795544,0.0002495452,0.0003915117,0.001135246,0.00009678146,0.0001682012,0.004608779,0.0001718713,0.000005922724],"category_scores_gemma":[0.00009952252,0.000211021,0.0002083256,0.0005654561,0.00004536808,0.0003417905,0.000562819,0.0004067246,0.00001865112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000721604,"about_ca_system_score_gemma":0.0001514641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003150192,"about_ca_topic_score_gemma":0.00001929864,"domain_scores_codex":[0.997965,0.0001448577,0.0006229964,0.0003662179,0.0005443533,0.0003565451],"domain_scores_gemma":[0.9966946,0.0009112383,0.0006119928,0.0004273118,0.00123216,0.0001227089],"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":[0.0002934584,0.0001679845,0.0003442426,0.00004131039,0.0006068319,0.00008994041,0.001567034,0.03452251,0.002699418,0.09748476,0.0007287127,0.8614538],"study_design_scores_gemma":[0.00390824,0.001992981,0.0006719743,0.0003439779,0.00006870786,0.007062702,0.0001144954,0.3126778,0.02063572,0.5758013,0.0760723,0.0006497672],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007003083,0.0001101838,0.9572026,0.03272475,0.002466052,0.0001859498,0.000002597164,0.0002286091,0.00007623772],"genre_scores_gemma":[0.1912437,0.00000568724,0.8005217,0.007739088,0.000448293,0.00001195935,0.000002669903,0.00001777977,0.000009113009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.860804,"threshold_uncertainty_score":0.8605188,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389273753","doi":"10.24297/ijct.v23i.9549","title":"Rotitome-G: Principles and design concept of experimental compliant continuum robotic microsurgical endoscopic sarcotome for pixel/voxel-level target access neurosurgery","year":2023,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hamilton Health Sciences","funders":"Hamilton Health Sciences","keywords":"Endoscope; Computer science; Artificial intelligence; Tendril; Computer vision; Medical physics; Surgery; Medicine; Biology","authors":[{"name":"Harjeet Singh Gandhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08890376048310032,"gpt":0.3396281600628034,"spread":0.2507243995797031,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002470551,0.0002012304,0.0005079321,0.0008752162,0.00008252235,0.0001098388,0.001137153,0.0001150856,0.00001912269],"category_scores_gemma":[0.0002948201,0.0001860926,0.0001599215,0.0003533553,0.0004811113,0.000274343,0.0004712555,0.0002418082,0.000004698989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007173995,"about_ca_system_score_gemma":0.00009636841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002653906,"about_ca_topic_score_gemma":5.099503e-7,"domain_scores_codex":[0.9980805,0.00007529345,0.0007806263,0.0003210237,0.0004251364,0.0003174201],"domain_scores_gemma":[0.998313,0.0006560021,0.0005352168,0.0001418189,0.0002621941,0.00009181996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004178396,0.0003171638,0.007648822,0.00002683824,0.0001006772,0.0003597854,0.0001564363,0.004363973,0.9781135,0.004494049,0.001857928,0.00214298],"study_design_scores_gemma":[0.002800625,0.0008972721,0.007681374,0.000182168,0.00001705564,0.001265412,0.0000503193,0.01607654,0.9637056,0.002420145,0.004678366,0.0002251491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8359172,0.0003374368,0.1579515,0.002269243,0.002995337,0.0003716833,0.00004307552,0.00009420613,0.00002027697],"genre_scores_gemma":[0.9943894,0.00007766636,0.0049487,0.0002994372,0.0001846871,0.00001395505,0.00000365949,0.00002343395,0.0000590264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1584722,"threshold_uncertainty_score":0.7588634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2801925897","doi":"10.24297/ijct.v12i9.2829","title":"Are We Really Preparing Preservice Teachers to Teach with Technology in the Classroom?","year":2014,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Information and Communications Technology; Plan (archaeology); Mathematics education; Upgrade; Teacher education; Training (meteorology); Lesson plan; Professional development; Psychology; Pedagogy; Computer science","authors":[{"name":"Thierry Karsenti","is_ca":true},{"name":"StÃ©phane Villeneuve","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01489805923797895,"gpt":0.3245354334097163,"spread":0.3096373741717374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161836,0.0001260018,0.0002129848,0.001695264,0.0001280194,0.0001122513,0.002156241,0.0003084108,0.000008539784],"category_scores_gemma":[0.0008547286,0.00009271475,0.00004802192,0.0009764364,0.0003305336,0.0002888378,0.000115902,0.0007577392,0.000009310413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002732666,"about_ca_system_score_gemma":0.0001507264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166184,"about_ca_topic_score_gemma":0.003488674,"domain_scores_codex":[0.9983982,0.0002142744,0.0004182918,0.0002037946,0.0005082033,0.0002572381],"domain_scores_gemma":[0.9982086,0.0002415613,0.0005765406,0.0002723678,0.0006529359,0.00004801064],"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":[0.0001265946,0.0005424945,0.3823504,0.000006458211,0.0002642075,0.0001016906,0.0146018,0.00132893,0.0005617344,0.4028584,0.02239151,0.1748657],"study_design_scores_gemma":[0.001201448,0.0006304599,0.02788344,0.0005089534,0.00003537441,0.0004969729,0.04400894,0.0003747962,0.00071172,0.07152737,0.8522913,0.000329248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.547411,0.00004952465,0.04174464,0.4079123,0.0006260633,0.0002181646,7.938517e-7,0.0001531212,0.001884393],"genre_scores_gemma":[0.9886634,0.00004733118,0.009473249,0.001493832,0.0001877266,0.00002031105,8.267157e-7,0.00000992648,0.0001033883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8298998,"threshold_uncertainty_score":0.4006868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2803098353","doi":"10.24297/ijct.v4i2c1.4175","title":"TAXONOMY FOR WSN SECURITY-A SURVEY","year":2018,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Energy Harvesting in Wireless Networks","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":"Trinity College","funders":"","keywords":"Computer science; Wireless sensor network; Computer security; Wireless; Computer network; Telecommunications","authors":[{"name":"Kshitija Ajabrao Chaple","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01545805715186393,"gpt":0.2434000525269166,"spread":0.2279419953750526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002939338,0.0001125701,0.000191578,0.0004345529,0.00002720995,0.00003763927,0.0008160303,0.0001435162,0.00001079634],"category_scores_gemma":[0.0001079818,0.0001156436,0.00007118944,0.000158961,0.0001315271,0.0001195003,0.00007318038,0.0002439775,0.000007067672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000105854,"about_ca_system_score_gemma":0.00002932739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004624319,"about_ca_topic_score_gemma":0.00003259321,"domain_scores_codex":[0.9991675,0.00001886719,0.0003833743,0.00009361935,0.000159262,0.0001773695],"domain_scores_gemma":[0.998707,0.0002190901,0.0001644086,0.0001207466,0.0007467883,0.000041979],"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":[0.0004138938,0.0002990803,0.06238345,0.00006083675,0.003450332,0.0002697412,0.0003457359,0.3097893,0.002697964,0.03311309,0.2302634,0.3569131],"study_design_scores_gemma":[0.002970631,0.0008774612,0.008038565,0.0004529622,0.00004189731,0.001311845,0.00003786634,0.3861921,0.0187019,0.01978604,0.5609268,0.0006620063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1905811,0.000200087,0.8012379,0.0005277804,0.00671777,0.00007887375,0.00001041593,0.0002059259,0.0004402046],"genre_scores_gemma":[0.9705932,0.00003171213,0.02805196,0.00009323061,0.001181762,0.000007683557,0.000005443686,0.00002298921,0.00001202261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7800121,"threshold_uncertainty_score":0.4715808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2515029028","doi":"10.24297/ijct.v15i11.4360","title":"Choosing Automated or Manual Testing in Extreme Programming with the Analytical Hierarchy Process","year":2016,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Software Engineering Techniques and Practices","field":"Computer Science","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 Regina","funders":"","keywords":"Extreme programming; Analytic hierarchy process; Computer science; Process (computing); Set (abstract data type); Team software process; Hierarchy; Software development process; Process management; Software; Software engineering; Software development; Operations research; Engineering","authors":[{"name":"Sultan Alshehri","is_ca":true},{"name":"Abdulmajeed Aljuhani","is_ca":true},{"name":"Luigi Benedicenti","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0395354447950476,"gpt":0.3171369617432895,"spread":0.2776015169482419,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004596848,0.0001223474,0.0001686243,0.0006492094,0.00003865599,0.0001434722,0.001905506,0.00007509147,0.000002444084],"category_scores_gemma":[0.0003606179,0.00006004568,0.00003350759,0.0007281983,0.0001079317,0.0006375513,0.000215994,0.0003105415,0.000001440899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156225,"about_ca_system_score_gemma":0.0001344603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004201947,"about_ca_topic_score_gemma":0.000003398096,"domain_scores_codex":[0.9988186,0.00003793092,0.0003498333,0.0001752024,0.0003985399,0.0002198308],"domain_scores_gemma":[0.9983419,0.0006494084,0.0003401769,0.0001884142,0.0004407401,0.00003942372],"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":[0.0001444827,0.0001390248,0.01544915,0.000009605338,0.0001741747,0.00154072,0.0002826818,0.003037182,0.0003627442,0.005485157,0.0004915653,0.9728835],"study_design_scores_gemma":[0.004728668,0.003310272,0.0153743,0.003642875,0.00005912967,0.02553995,0.0002140092,0.8828181,0.00695159,0.01453047,0.04178473,0.001045917],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07915976,0.00004298881,0.8972019,0.02266026,0.0002677621,0.00007903701,3.09878e-7,0.0005674525,0.00002049826],"genre_scores_gemma":[0.7629547,0.000006308828,0.2368326,0.0001193198,0.00006740574,0.000005070025,8.088234e-8,0.000007616941,0.000006943987],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9718376,"threshold_uncertainty_score":0.3540936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}