{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":18,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":18,"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":"8c0a2912b32a","filters":{"venue":"Journal of Computer and Communications"}},"results":[{"id":"W4398255359","doi":"10.4236/jcc.2024.125005","title":"A Discussion of Artificial Intelligence in Visual Art Education","year":2024,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Artificial intelligence; Computer science; Cognitive science; Psychology; Mathematics education","authors":[{"name":"Joanna Black","is_ca":true},{"name":"Tom Chaput","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03314700203324115,"gpt":0.3598071502381001,"spread":0.3266601482048589,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003877135,0.0003699633,0.0002474005,0.001699941,0.008735234,0.01232455,0.001351194,0.007879826,0.01081982],"category_scores_gemma":[0.005060908,0.0001988253,0.0005837571,0.002063668,0.01029828,0.007447061,0.002601966,0.007634905,0.001269445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006225657,"about_ca_system_score_gemma":0.003645762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007143415,"about_ca_topic_score_gemma":0.01420767,"domain_scores_codex":[0.9970062,0.001841063,0.00009800794,0.0001946555,0.0006048154,0.0002551664],"domain_scores_gemma":[0.9951391,0.004013364,0.0001338987,0.00008097384,0.0003429599,0.0002896455],"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":[0.000006637523,0.00002631275,0.0003472953,0.0001340816,0.000003075751,0.0002636593,0.0114459,0.0001282297,0.0001164531,0.8923631,0.07045975,0.02470553],"study_design_scores_gemma":[0.000002254427,0.00001061844,0.0005411023,0.0005605405,0.000002660413,0.0001606361,0.008845747,0.0002256931,0.0001266758,0.06935528,0.9201601,0.000008656117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005969386,0.04010218,0.004274462,0.5183975,0.008309745,0.00003185492,0.000040489,0.00003024301,0.4228443],"genre_scores_gemma":[0.4370677,0.06095913,0.006415092,0.228178,0.01107313,0.0001823816,0.00006402055,0.0001306046,0.25593],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01232455,"threshold_uncertainty_score":0.04517055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2905908424","doi":"10.4236/jcc.2018.612011","title":"Blockchain Economics and Marketing","year":2018,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Blockchain; Cryptocurrency; Goods and services; Meaning (existential); Marketing; Business; Computer science; Economics; World Wide Web; Computer security","authors":[{"name":"Frank T. Lorne","is_ca":true},{"name":"Sriram Daram","is_ca":true},{"name":"Rutha Frantz","is_ca":true},{"name":"Naveen Kumar","is_ca":true},{"name":"Athif Mohammed","is_ca":true},{"name":"Amit Muley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01301178434003001,"gpt":0.2435448021570119,"spread":0.2305330178169819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001316389,0.0003985298,0.0004546151,0.001233489,0.001278132,0.003771196,0.0004326238,0.003287317,0.01350183],"category_scores_gemma":[0.003563327,0.0002430075,0.0003129137,0.00126413,0.004778781,0.005608824,0.001177589,0.001768662,0.001081112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004509326,"about_ca_system_score_gemma":0.002182818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00346368,"about_ca_topic_score_gemma":0.002510741,"domain_scores_codex":[0.9991907,0.0003055902,0.00001973704,0.0001167664,0.0002365426,0.0001306017],"domain_scores_gemma":[0.9977241,0.001492142,0.0002562571,0.0001279371,0.0002214208,0.0001780319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008433891,0.00001078425,0.0001762838,0.00003413174,0.000005215142,0.0000386098,0.00003371032,0.002531528,0.00005833621,0.9911759,0.001740933,0.004186241],"study_design_scores_gemma":[0.000008473542,0.000009745604,0.000235874,0.00005942567,0.000002193739,0.00003761559,0.00006753909,0.003409098,0.00005854572,0.9790811,0.01702434,0.000006246931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06060139,0.03786954,0.08876429,0.07492633,0.0008283956,0.0001975262,0.000440188,0.0001378784,0.7362345],"genre_scores_gemma":[0.9135348,0.01755546,0.004016462,0.00320701,0.001019908,0.0001641332,0.00007371864,0.00003492299,0.06039371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01350183,"threshold_uncertainty_score":0.0451681,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2610105425","doi":"10.4236/jcc.2017.56006","title":"Efficient and Innovative Techniques for Collective Acquisition of Weak GNSS Signals","year":2017,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GNSS applications; Computer science; Sensitivity (control systems); Real-time computing; Process (computing); Position (finance); Satellite system; Satellite; Satellite navigation; Electronic engineering; Global Positioning System; Engineering; Telecommunications","authors":[{"name":"Maherizo Andrianarison","is_ca":true},{"name":"M. Sahmoudi","is_ca":false},{"name":"René Landry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02091917728935591,"gpt":0.282308590302415,"spread":0.261389413013059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002906645,0.000477295,0.0004392243,0.0007910373,0.0003217214,0.0004952392,0.0007841535,0.0004084568,0.0009047118],"category_scores_gemma":[0.0006132076,0.0002397056,0.0003586822,0.0009054784,0.0004519668,0.0009126129,0.001203187,0.0006181464,0.0005509263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407668,"about_ca_system_score_gemma":0.0003629536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005271042,"about_ca_topic_score_gemma":0.0009459637,"domain_scores_codex":[0.9996976,0.00005053846,0.00001066813,0.00005910597,0.0001605255,0.00002155191],"domain_scores_gemma":[0.9997872,0.0000507979,0.00004137417,0.00005595453,0.00005423444,0.00001057414],"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":[0.00007433153,0.00004777107,0.001225737,0.0002655497,0.00006864127,0.0001287745,0.0002583088,0.03420906,0.157509,0.0235536,0.001898261,0.780761],"study_design_scores_gemma":[0.00006373163,0.0004425033,0.00320633,0.0001106195,0.0001264386,0.001191747,0.0002239091,0.7852145,0.1265921,0.02239771,0.06033837,0.000092099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006326504,0.0006402016,0.991759,0.00005848431,0.0000272396,0.00001471313,0.000009414633,0.0003048037,0.0008596838],"genre_scores_gemma":[0.177857,0.001263987,0.8171991,0.00006791682,0.00007294455,0.00006606654,0.00008369525,0.00005525613,0.003333981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009047118,"threshold_uncertainty_score":0.003026545,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2320149602","doi":"10.4236/jcc.2016.44007","title":"Ensuring Quality of Random Numbers from TRNG: Design and Evaluation of Post-Processing Using Genetic Algorithm","year":2016,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Genetic algorithm; Algorithm; Quality (philosophy); Machine learning","authors":[{"name":"Jose J. Mijares Chan","is_ca":true},{"name":"Parimala Thulasiraman","is_ca":true},{"name":"Gabriel Thomas","is_ca":true},{"name":"Ruppa K. Thulasiram","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1076564693682366,"gpt":0.3524866937836076,"spread":0.2448302244153711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003523927,0.0007280667,0.0005130639,0.0007700142,0.0003014992,0.001146678,0.00156587,0.0008059496,0.0008909671],"category_scores_gemma":[0.011522,0.0003043622,0.0003029584,0.0003586621,0.0008403819,0.0007731594,0.0004556133,0.00066486,0.0002627629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160089,"about_ca_system_score_gemma":0.001264283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485039,"about_ca_topic_score_gemma":0.001426206,"domain_scores_codex":[0.996765,0.001072457,0.0001791163,0.000395879,0.001392621,0.0001949958],"domain_scores_gemma":[0.9922137,0.00328332,0.00106864,0.0008790449,0.002406257,0.0001489478],"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":[0.0005753068,0.0003236437,0.003494084,0.00021333,0.00008383078,0.000177549,0.0001606764,0.670642,0.09250344,0.01032159,0.0006218891,0.2208827],"study_design_scores_gemma":[0.00004282656,0.0005167163,0.0005511519,0.00001329844,0.00002676611,0.00008496829,0.00001408171,0.9338193,0.06309412,0.0008509686,0.0009659568,0.0000198371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08029859,0.0001542918,0.9162435,0.0001152667,0.00003798011,0.0003501724,0.00002016378,0.001091737,0.001688249],"genre_scores_gemma":[0.5813742,0.00008309219,0.4172315,0.00006934765,0.00001305334,0.0002165193,0.00004002174,0.0001321117,0.0008401627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003523927,"threshold_uncertainty_score":0.01863652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061780772","doi":"10.4236/jcc.2014.28007","title":"Multilayer Authentication for Communication Systems Based on Physical-Layer Attributes","year":2014,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Western University","funders":"","keywords":"Physical layer; Computer science; Authentication (law); Randomness; Computer network; Handshake; Mathematics; Computer security; Wireless; Telecommunications","authors":[{"name":"Ahmed Refaey","is_ca":true},{"name":"Weikun Hou","is_ca":true},{"name":"Khaled Loukhaoukha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02876078657921373,"gpt":0.279012942232553,"spread":0.2502521556533392,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001481633,0.0007994967,0.0007401938,0.0009902277,0.0009062022,0.002174468,0.000624226,0.0009871931,0.002393926],"category_scores_gemma":[0.003484272,0.0003023965,0.0007257938,0.0006753809,0.001072999,0.003867752,0.002740195,0.001293305,0.001141428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006709094,"about_ca_system_score_gemma":0.0005250974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006516907,"about_ca_topic_score_gemma":0.0004594128,"domain_scores_codex":[0.9981905,0.0003955407,0.0002329634,0.0002681508,0.0006516682,0.0002612582],"domain_scores_gemma":[0.9974698,0.0005799614,0.0004390147,0.0009743759,0.0004520939,0.00008482919],"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":[0.001404547,0.0002154959,0.005445161,0.0009198622,0.0002356911,0.001250107,0.000791353,0.1331503,0.2323732,0.2339036,0.002935052,0.3873757],"study_design_scores_gemma":[0.00005491997,0.001107642,0.003214851,0.0001776918,0.0002386862,0.001350054,0.0002137784,0.8206937,0.08392299,0.06360275,0.02523466,0.0001881699],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03927807,0.0009548247,0.9545286,0.0002166545,0.0001548386,0.0001543149,0.0000640482,0.0009821051,0.003666646],"genre_scores_gemma":[0.8775333,0.0006919831,0.1182487,0.0001212171,0.0001154891,0.0001048816,0.00009456921,0.00002829092,0.003061566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002393926,"threshold_uncertainty_score":0.00800848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1976455825","doi":"10.4236/jcc.2014.25001","title":"Knowledge Discovery in Data: A Case Study","year":2014,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; Canadian Natural Resources; Alberta Health Services","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Online analytical processing; Data warehouse; Computer science; Knowledge extraction; Data science; Domain (mathematical analysis); Data mining; Domain knowledge; Data collection; Database; Software engineering","authors":[{"name":"Ahmed Hammad","is_ca":true},{"name":"Simaan AbouRizk","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.170334607172913,"gpt":0.3678639802994504,"spread":0.1975293731265374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01344778,0.0003944205,0.0005887204,0.003951686,0.003563325,0.005078015,0.00301477,0.00339257,0.001157419],"category_scores_gemma":[0.0281956,0.0004062575,0.0008850258,0.01212164,0.002742465,0.003773219,0.00319211,0.001674519,0.0002746774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003610401,"about_ca_system_score_gemma":0.004253791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02578719,"about_ca_topic_score_gemma":0.03373407,"domain_scores_codex":[0.9849948,0.007002923,0.001033186,0.001025665,0.005199505,0.000743914],"domain_scores_gemma":[0.9364332,0.05266944,0.001846506,0.003457363,0.004459722,0.00113377],"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":[0.001054884,0.004217802,0.1820108,0.005204697,0.0004919053,0.05680809,0.07979038,0.06165767,0.008176188,0.08597509,0.02418113,0.4904312],"study_design_scores_gemma":[0.0005208975,0.001410974,0.09228475,0.002574852,0.0004368992,0.02402455,0.1801564,0.2129701,0.03438804,0.06441454,0.386457,0.0003610954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8701564,0.002035958,0.09604908,0.008980841,0.00009482189,0.0016161,0.002804475,0.0002616494,0.01800071],"genre_scores_gemma":[0.8592983,0.001603732,0.1324701,0.0006748984,0.00005428257,0.000631969,0.002100733,0.00006562481,0.003100336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02578719,"threshold_uncertainty_score":0.07111949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3161107921","doi":"10.4236/jcc.2021.95005","title":"Multi-Frequency Interference Detection and Mitigation Using Multiple Adaptive IIR Notch Filter with Lattice Structure","year":2021,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec; École de technologie supérieure","keywords":"Band-stop filter; Infinite impulse response; Computer science; Adaptive filter; Interference (communication); Bit error rate; Control theory (sociology); Adjacent-channel interference; Electronic engineering; Algorithm; Bandwidth (computing); Digital filter; Low-pass filter; Telecommunications; Engineering; Artificial intelligence; Channel (broadcasting)","authors":[{"name":"Abdelrahman El Gebali","is_ca":true},{"name":"René Landry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02775514447791644,"gpt":0.2603456188865635,"spread":0.2325904744086471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003572001,0.0005197283,0.0004481142,0.0003106164,0.0003412833,0.0004555106,0.0006691061,0.000801982,0.0007563831],"category_scores_gemma":[0.0008056632,0.0002131341,0.000539955,0.0003387052,0.0003643099,0.0006473054,0.0003938283,0.000652015,0.0004310302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004363606,"about_ca_system_score_gemma":0.0005934349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002414227,"about_ca_topic_score_gemma":0.002506896,"domain_scores_codex":[0.9995833,0.00007756852,0.00002224767,0.00008899434,0.0001931783,0.00003469581],"domain_scores_gemma":[0.9997273,0.00009215101,0.00005047408,0.00002554167,0.00008825354,0.00001618077],"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":[0.0004580806,0.0002574407,0.002462008,0.0002214428,0.000133526,0.0002477644,0.0002725313,0.2429935,0.1965305,0.01327821,0.001558066,0.5415869],"study_design_scores_gemma":[0.00002815415,0.0001802095,0.0003710811,0.00001042394,0.00001872363,0.0001446968,0.00001777849,0.98174,0.01480877,0.0009414816,0.001716522,0.00002212679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01317512,0.0001827231,0.9852712,0.00005816454,0.00003620588,0.00002366053,0.00001146624,0.0002096664,0.001031767],"genre_scores_gemma":[0.3988577,0.0004215438,0.5967849,0.0001599365,0.000068399,0.0001251307,0.00009434392,0.000030067,0.003458042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002414227,"threshold_uncertainty_score":0.00480032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400366340","doi":"10.4236/jcc.2024.126012","title":"Radiography Image Classification Using Deep Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Convolutional neural network; Artificial intelligence; Radiography; Computer science; Pattern recognition (psychology); Deep learning; Contextual image classification; Image (mathematics); Computer vision; Radiology; Medicine","authors":[{"name":"Ahmad Chowdhury","is_ca":true},{"name":"Haiyi Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05531199457496269,"gpt":0.349865223504554,"spread":0.2945532289295912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007534486,0.001229675,0.0006453271,0.001731798,0.0002646425,0.0009513199,0.00133103,0.001217969,0.002670532],"category_scores_gemma":[0.002109242,0.000553112,0.001367444,0.001128468,0.0003055338,0.000972278,0.0007153684,0.001346637,0.001531629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570379,"about_ca_system_score_gemma":0.0008130121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975571,"about_ca_topic_score_gemma":0.01826114,"domain_scores_codex":[0.9994934,0.00006263496,0.0000367482,0.0001523318,0.0001552461,0.00009965406],"domain_scores_gemma":[0.9993998,0.0001869255,0.00008850459,0.00007380504,0.0002161915,0.00003470235],"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":[0.0003885724,0.000282902,0.003840224,0.0002170462,0.000209162,0.0002918272,0.00006245702,0.3871745,0.01967683,0.002869448,0.01052703,0.57446],"study_design_scores_gemma":[0.000004508884,0.00002076248,0.0004478601,0.00001253169,0.00001114522,0.00002248688,0.000005387974,0.9951642,0.00289911,0.0007654654,0.0006394788,0.000007087473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1092446,0.003016121,0.8624789,0.001140617,0.0004487239,0.0002497515,0.001722324,0.01559494,0.006103937],"genre_scores_gemma":[0.6899208,0.00161223,0.2892761,0.000674074,0.000226371,0.0002069248,0.005178012,0.0003388549,0.01256662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01975571,"threshold_uncertainty_score":0.03928149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2904628051","doi":"10.4236/jcc.2018.612003","title":"Representation of Categorical Specification of Self-Configurations in Reactive Autonomic Systems Framework","year":2018,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Advanced Software Engineering Methodologies","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":"Huawei Technologies (Canada)","funders":"Shandong University of Technology; Shandong University","keywords":"Computer science; Autonomic computing; Categorical variable; XML; Categorization; Representation (politics); Artificial intelligence; Software engineering; Theoretical computer science; Machine learning","authors":[{"name":"Ming Zhu","is_ca":false},{"name":"Heng Kuang","is_ca":true},{"name":"Jing Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06198989440223716,"gpt":0.3405512507523645,"spread":0.2785613563501274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001499767,0.0005027649,0.0003704766,0.00159107,0.0009974075,0.003124278,0.001433876,0.001085004,0.003852125],"category_scores_gemma":[0.001987334,0.0003582525,0.00160115,0.001003341,0.002342382,0.003772435,0.002096202,0.001828242,0.0006579806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001973645,"about_ca_system_score_gemma":0.001876117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007085017,"about_ca_topic_score_gemma":0.006719345,"domain_scores_codex":[0.9984323,0.000472968,0.0001848229,0.0002715537,0.000431341,0.0002069028],"domain_scores_gemma":[0.9990138,0.0002738831,0.0001142802,0.0001858021,0.0003212384,0.00009101484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001394366,0.0000190231,0.0003836223,0.0000493113,0.00001129769,0.0001934602,0.0006302975,0.006830272,0.001712625,0.9825974,0.0006809985,0.006877786],"study_design_scores_gemma":[0.00003046708,0.00006757305,0.0003678635,0.00008547517,0.00003972653,0.0003372105,0.0005821342,0.1099015,0.003209064,0.8386361,0.04669102,0.00005189046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01836124,0.0003693085,0.9623971,0.0006189769,0.0001139312,0.0001122355,0.0004082924,0.0008532274,0.01676563],"genre_scores_gemma":[0.5275838,0.000636674,0.4606975,0.0004349452,0.0001271949,0.0005390528,0.001240657,0.0002501307,0.008489945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007085017,"threshold_uncertainty_score":0.01431984,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2593731259","doi":"10.4236/jcc.2017.52006","title":"Collision Vehicle Detection System Based on GPS/INS Integration","year":2017,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Global Positioning System; Position (finance); Real-time computing; Calibration; Computer science; Set (abstract data type); GPS/INS; Assisted GPS; Telecommunications; Mathematics","authors":[{"name":"Néda Navidi","is_ca":true},{"name":"René Landry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01580833415033573,"gpt":0.244980109999853,"spread":0.2291717758495172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002064626,0.0005847181,0.0007028731,0.0007116388,0.0004325795,0.0005339516,0.000820512,0.0004426383,0.002209774],"category_scores_gemma":[0.000367499,0.0002988555,0.0002425115,0.0004788219,0.0001285423,0.0005723676,0.0005769523,0.0003916197,0.001166378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002554968,"about_ca_system_score_gemma":0.0005310519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002703425,"about_ca_topic_score_gemma":0.002568,"domain_scores_codex":[0.9997013,0.00003046138,0.00001884807,0.00007687507,0.0001356394,0.00003682236],"domain_scores_gemma":[0.9998003,0.0000152647,0.0000256264,0.00002514354,0.0001170235,0.00001667624],"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":[0.001532868,0.000590077,0.03060618,0.0006875474,0.0002617842,0.001021552,0.0005654586,0.04454777,0.2085623,0.004596763,0.02204598,0.6849817],"study_design_scores_gemma":[0.0001952364,0.001105206,0.02142631,0.00007179419,0.0003319649,0.001655526,0.0002626822,0.8162083,0.1277077,0.001813961,0.02907585,0.0001454163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.245245,0.001147298,0.7159352,0.0003595272,0.0004774963,0.0003309344,0.0008162729,0.02294707,0.01274126],"genre_scores_gemma":[0.9103807,0.0004068133,0.08105225,0.0001606855,0.00009240107,0.000160538,0.000876259,0.00005538222,0.006814941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002703425,"threshold_uncertainty_score":0.007392466,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2610819165","doi":"10.4236/jcc.2017.56008","title":"Communication Mediated through Natural Language Generation in Big Data Environments: The Case of Nomao","year":2017,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Coherence (philosophical gambling strategy); Perspective (graphical); Natural language; Big data; Natural language processing; Natural (archaeology); Data science; Natural language generation; Artificial intelligence; History","authors":[{"name":"Jean-Sébastien Vayre","is_ca":false},{"name":"Estelle Delpech","is_ca":false},{"name":"Aude Dufresne","is_ca":true},{"name":"Céline Lemercier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09059389479770354,"gpt":0.3599158874440927,"spread":0.2693219926463892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005781924,0.0004505314,0.0002735944,0.001230633,0.009086458,0.005239304,0.00107864,0.002848805,0.004243509],"category_scores_gemma":[0.01535415,0.0002908403,0.0003497852,0.001392257,0.00677359,0.008299216,0.004432616,0.001666808,0.0005103817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076654,"about_ca_system_score_gemma":0.001494229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004893215,"about_ca_topic_score_gemma":0.006468596,"domain_scores_codex":[0.9942781,0.004659471,0.0001076472,0.0003485758,0.0003408948,0.0002653801],"domain_scores_gemma":[0.9805512,0.01600875,0.0009208565,0.001356256,0.0005637765,0.0005991671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003758409,0.0003065529,0.01829018,0.0004572424,0.00004390622,0.01880969,0.8049095,0.001063301,0.007015184,0.1088227,0.004901768,0.03500409],"study_design_scores_gemma":[0.0001670965,0.0003021935,0.02548253,0.0004196872,0.00007716822,0.009253805,0.6156491,0.014594,0.004842863,0.07831781,0.2506977,0.0001960789],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9108018,0.0007008689,0.02145971,0.007601256,0.0001779566,0.0001909019,0.0001788727,0.0001657922,0.05872284],"genre_scores_gemma":[0.9882394,0.0001799807,0.007326182,0.0003822182,0.00005005965,0.0001073565,0.00006091705,0.00004596528,0.003607877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009086458,"threshold_uncertainty_score":0.03057808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2558151652","doi":"10.4236/jcc.2016.415011","title":"Measuring Musical Rhythm Similarity: Further Experiments with the Many-to-Many Minimum-Weight Matching Distance","year":2016,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Rhythm; Similarity (geometry); Matching (statistics); Pattern recognition (psychology); Measure (data warehouse); Mathematics; Musical; Artificial intelligence; Speech recognition; Communication; Computer science; Statistics; Psychology; Art; Data mining; Acoustics; Physics; Literature","authors":[{"name":"Godfried T. Toussaint","is_ca":false},{"name":"Seung Man Oh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03803071560085301,"gpt":0.2651858752363759,"spread":0.2271551596355229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007898218,0.001783272,0.001917568,0.002444786,0.001355422,0.001475758,0.003268025,0.001968282,0.00216699],"category_scores_gemma":[0.03285202,0.0003277658,0.001079924,0.003798845,0.001003047,0.002923293,0.002061052,0.001420067,0.0007440768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028229,"about_ca_system_score_gemma":0.0008893428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006772975,"about_ca_topic_score_gemma":0.005917144,"domain_scores_codex":[0.9924164,0.003151705,0.001003748,0.001754864,0.001266283,0.0004069706],"domain_scores_gemma":[0.9785222,0.01460712,0.0007425545,0.003270805,0.002172319,0.0006849141],"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":[0.00954405,0.007521126,0.03416927,0.004618686,0.002169331,0.0008255242,0.001890695,0.1980375,0.05678288,0.005643581,0.02414728,0.6546501],"study_design_scores_gemma":[0.001314636,0.005552201,0.03633892,0.0001925645,0.0005510433,0.001169493,0.002745658,0.882259,0.0467189,0.01030176,0.01265588,0.0001998503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351693,0.002071343,0.051392,0.0005235575,0.0004627371,0.0007000871,0.003247931,0.001877164,0.004555921],"genre_scores_gemma":[0.8035574,0.0004266122,0.1815382,0.0002483439,0.0000934006,0.0005189692,0.01151881,0.0002725833,0.001825826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007898218,"threshold_uncertainty_score":0.04177022,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901363181","doi":"10.4236/jcc.2018.611019","title":"Modeling and Performance Analysis of Weighted Priority Queueing for Packet-Switched Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Queueing theory; Layered queueing network; Computer science; Priority queue; Queue; Bulk queue; Petri net; Computer network; Network packet; Stochastic Petri net; G-network; Mean value analysis; Real-time computing; Algorithm","authors":[{"name":"Dariusz Strzęciwilk","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03600345350049187,"gpt":0.2938675641432762,"spread":0.2578641106427843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138247,0.001021753,0.0005621897,0.0007000677,0.0003844931,0.001111493,0.001425429,0.0006688919,0.00108579],"category_scores_gemma":[0.003050367,0.0003807943,0.0006083148,0.0006797343,0.0006124913,0.001443644,0.000489925,0.0007138294,0.0001953062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582872,"about_ca_system_score_gemma":0.001402103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008572998,"about_ca_topic_score_gemma":0.003370942,"domain_scores_codex":[0.9992033,0.0001951185,0.00004088608,0.00009599148,0.0003708597,0.00009392751],"domain_scores_gemma":[0.9990262,0.0004961466,0.0001372819,0.00005944297,0.0002423392,0.00003856896],"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":[0.00001522309,0.00002572464,0.0002455219,0.00003021873,0.0000178823,0.00004408632,0.00002578514,0.9637203,0.002677899,0.02870813,0.00015901,0.004330271],"study_design_scores_gemma":[0.000001076686,0.000005772311,0.00003565307,0.00000152458,0.000003146397,0.000005750333,0.000001582035,0.9951272,0.0002374061,0.004447749,0.0001311295,0.000002074816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03261879,0.0004892451,0.962045,0.0001370213,0.00006033019,0.00006296645,0.00008276696,0.0001996386,0.004304121],"genre_scores_gemma":[0.9246812,0.001138414,0.06998155,0.00005281245,0.00009512198,0.0001209753,0.0001648847,0.00007362082,0.003691421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008572998,"threshold_uncertainty_score":0.01704621,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2313442341","doi":"10.4236/jcc.2014.213002","title":"Ultrasound Driving Application of a Universal Waveform Generator Derived from Displaying Driving System","year":2014,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Ultrasound Imaging and Elastography","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":"University of Alberta","funders":"","keywords":"Waveform; Integrator; Transducer; Ultrasound; Generator (circuit theory); Pulse generator; Signal generator; Computer science; Driver circuit; Arbitrary waveform generator; Pulse-width modulation; Power (physics); Acoustics; Electrical engineering; Voltage; Engineering; Physics","authors":[{"name":"Chang Ge","is_ca":true},{"name":"Jihui Wu","is_ca":false},{"name":"Yongming Tang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007792201611700018,"gpt":0.2317766280609163,"spread":0.2239844264492163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003170998,0.0003866914,0.000326508,0.0004445178,0.0002195582,0.0003939834,0.001103872,0.0005918054,0.003801524],"category_scores_gemma":[0.0008599217,0.0002256583,0.000205701,0.000275239,0.0002005289,0.0005379284,0.0004010182,0.0003631034,0.0008354257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002463005,"about_ca_system_score_gemma":0.0003522127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003039264,"about_ca_topic_score_gemma":0.0002539132,"domain_scores_codex":[0.9995705,0.00005401135,0.00003267215,0.00009875651,0.0002038184,0.00004025739],"domain_scores_gemma":[0.9995385,0.0001096991,0.00005714473,0.00005553748,0.000198643,0.00004045446],"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":[0.0002478007,0.00006471319,0.001122829,0.0003684914,0.00002851463,0.0006224831,0.0002412409,0.002209545,0.7944995,0.007080013,0.003815987,0.1896989],"study_design_scores_gemma":[0.0001020545,0.001546169,0.004006952,0.00005927462,0.0001329445,0.00617054,0.00006397755,0.07532416,0.8706402,0.001649515,0.04019732,0.0001068941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.110441,0.0007752751,0.8685614,0.0004818217,0.0003151039,0.0003928576,0.0001965792,0.006280794,0.01255499],"genre_scores_gemma":[0.8011707,0.0004438056,0.1840695,0.0005346675,0.0002362234,0.0001923687,0.0002224381,0.0003153275,0.01281502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003801524,"threshold_uncertainty_score":0.01271737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392000216","doi":"10.4236/jcc.2024.122006","title":"Analysis of Public Sentiment regarding COVID-19 Vaccines on the Social Media Platform Reddit","year":2024,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Hate Speech and Cyberbullying Detection","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":"McGill University","funders":"","keywords":"Social media; Coronavirus disease 2019 (COVID-19); Sentiment analysis; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Microblogging; Advertising; Internet privacy; Media studies; Computer science; Political science; Virology; World Wide Web; Sociology; Business; Medicine; Artificial intelligence","authors":[{"name":"Lucien Dikla Ngueleo","is_ca":false},{"name":"Jules Pagna Disso","is_ca":false},{"name":"Armel Ayimdji Tekemetieu","is_ca":true},{"name":"Justin Moskolaï Ngossaha","is_ca":false},{"name":"Michael Nana Kameni","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06871244268204685,"gpt":0.3187487962503896,"spread":0.2500363535683428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001694824,0.0003317363,0.0002316696,0.001825043,0.0004904795,0.000766283,0.0001674888,0.0002904645,0.001057066],"category_scores_gemma":[0.007537311,0.00007334578,0.0001661942,0.0009809536,0.0002098585,0.0009829679,0.0005719643,0.0004774842,0.0006479066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000433784,"about_ca_system_score_gemma":0.0002646329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766945,"about_ca_topic_score_gemma":0.003466039,"domain_scores_codex":[0.9988287,0.0004213338,0.00008086199,0.000112227,0.0004443187,0.0001125619],"domain_scores_gemma":[0.9914091,0.003955657,0.001525953,0.0002465075,0.002590268,0.0002724861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001720813,0.0004137654,0.6558207,0.001063051,0.0001694587,0.001225167,0.01584155,0.002552196,0.06367201,0.001750543,0.02793398,0.2278368],"study_design_scores_gemma":[0.00002338589,0.0005472627,0.8761798,0.0001859497,0.0001136112,0.0005138643,0.02018216,0.04730853,0.01816627,0.0008685523,0.03580793,0.0001027033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877651,0.0001480942,0.002071471,0.000543926,0.0001188654,0.00009258049,0.002802845,0.0001090767,0.006348008],"genre_scores_gemma":[0.9900824,0.0001605881,0.003369625,0.0002119819,0.0001823301,0.00009884407,0.002822657,0.00004217712,0.003029443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001825043,"threshold_uncertainty_score":0.008963227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2991219933","doi":"10.4236/jcc.2019.711009","title":"Evaluation of a Cloud Management System for Live Migrations","year":2019,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Cloud Computing and Resource Management","field":"Computer 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":"Science Foundation Ireland; National Science Foundation","keywords":"Cloud computing; Live migration; Virtualization; Computer science; Cloud service provider; Virtual machine; Process (computing); Service (business); Service provider; Work (physics); Computer network; Computer security; Cloud computing security; Operating system; Business; Engineering","authors":[{"name":"Md Israfil Biswas","is_ca":false},{"name":"Philip Morrow","is_ca":false},{"name":"Sally McClean","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03380335620431715,"gpt":0.2874721850010554,"spread":0.2536688287967382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001857398,0.0005331943,0.0003371197,0.0004938361,0.0007321478,0.001083236,0.00112225,0.0005570807,0.001970467],"category_scores_gemma":[0.004044279,0.0001899035,0.0002126968,0.0003135265,0.0004563026,0.001011635,0.0005276235,0.0004860121,0.0003136317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613255,"about_ca_system_score_gemma":0.001591615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163043,"about_ca_topic_score_gemma":0.004494433,"domain_scores_codex":[0.9986946,0.0004178139,0.00009439267,0.0001493923,0.0004601299,0.000183718],"domain_scores_gemma":[0.997404,0.0007547725,0.0001696942,0.0003661122,0.001005628,0.0002997831],"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":[0.007507198,0.00595115,0.033878,0.0007912805,0.0002936941,0.001169612,0.001523327,0.3751642,0.2579507,0.006375066,0.008984957,0.3004107],"study_design_scores_gemma":[0.0005434419,0.003995455,0.01523694,0.00003370356,0.0001216287,0.0001301505,0.0004374392,0.8993433,0.07419059,0.0004877979,0.005425802,0.00005387951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597207,0.0001147551,0.0310861,0.0002394475,0.00009855559,0.0007500763,0.000175076,0.002173,0.00564227],"genre_scores_gemma":[0.988205,0.00003384278,0.01065684,0.00003155367,0.000006762511,0.00007972758,0.0001203549,0.00004184063,0.0008241718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163043,"threshold_uncertainty_score":0.02312541,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396930500","doi":"10.4236/jcc.2024.125002","title":"SEMR: A Framework for Sharing Electronic Medical Records Using Emerging Technologies","year":2024,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Blockchain Technology Applications and Security","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 Laval","funders":"","keywords":"Computer science; Data sharing; Medical record; Data science; Medicine","authors":[{"name":"Leina Abdelgalil","is_ca":false},{"name":"Mohamed Mejri","is_ca":true},{"name":"Djedjiga Mouheb","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02482390924957721,"gpt":0.3280949317686968,"spread":0.3032710225191195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01131836,0.0008808022,0.001095425,0.002684213,0.001617104,0.004922443,0.004877306,0.003201683,0.008399988],"category_scores_gemma":[0.007469816,0.00114028,0.002979535,0.001590463,0.002557111,0.008853487,0.01050821,0.002893948,0.004057345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128317,"about_ca_system_score_gemma":0.002950089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00255794,"about_ca_topic_score_gemma":0.00326331,"domain_scores_codex":[0.9935305,0.002445385,0.0009492405,0.0007821327,0.001795475,0.0004972472],"domain_scores_gemma":[0.9966107,0.0009623634,0.0003572405,0.001343648,0.0003608261,0.0003652162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000405602,0.0003215364,0.001681469,0.0007127337,0.0001973232,0.002030974,0.001558199,0.02737185,0.0108658,0.7874605,0.01917299,0.1482211],"study_design_scores_gemma":[0.0002689357,0.0004082616,0.0008400281,0.0004756852,0.000138965,0.002164634,0.0005072328,0.3536488,0.01095011,0.2408469,0.3894678,0.0002827813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001872737,0.0002128397,0.9837515,0.0004677029,0.00009604606,0.000443748,0.0002094225,0.009095402,0.003850655],"genre_scores_gemma":[0.07997818,0.001001347,0.9013876,0.0005814017,0.0002352665,0.001055526,0.001826955,0.001246407,0.01268731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01131836,"threshold_uncertainty_score":0.0598579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2324889137","doi":"10.4236/jcc.2014.27003","title":"Scalable Trust-Based Secure WSNs","year":2014,"lang":"en","type":"article","venue":"Journal of Computer and Communications","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scalability; Computer science; Wireless sensor network; Trust management (information system); Cryptography; Computer network; Key management; Computation; Focus (optics); Key (lock); Distributed computing; Key distribution in wireless sensor networks; Public-key cryptography; Cryptographic protocol; Wireless; Wireless network; Computer security; Encryption; Algorithm; Telecommunications","authors":[{"name":"Amar Agrawal","is_ca":true},{"name":"Ruizhong Wei","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0142212776788967,"gpt":0.2462944970272543,"spread":0.2320732193483576,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478747,0.0005551949,0.0008031115,0.0005326678,0.00073377,0.0009987131,0.001194975,0.0005322369,0.001456233],"category_scores_gemma":[0.00355361,0.000317616,0.000570985,0.0008100754,0.0009401875,0.003026256,0.002482873,0.0008247006,0.0004108668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000904901,"about_ca_system_score_gemma":0.0007384018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009160357,"about_ca_topic_score_gemma":0.0009810429,"domain_scores_codex":[0.9984661,0.0003399483,0.0001377246,0.0002913828,0.0006197243,0.0001450359],"domain_scores_gemma":[0.9982626,0.0005629156,0.0002532527,0.0004263333,0.0003608032,0.0001340857],"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":[0.0005330073,0.0001485083,0.002265718,0.0004692665,0.0002303586,0.001285827,0.0005972299,0.575727,0.0441561,0.2296228,0.005257494,0.1397067],"study_design_scores_gemma":[0.00004666887,0.0001350721,0.0003916406,0.00002408531,0.00004620436,0.0001744403,0.00007660372,0.9255555,0.005736095,0.06281088,0.004979696,0.00002311716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04969169,0.0007624454,0.9429921,0.0006159853,0.000144896,0.0001680853,0.0001057633,0.0009445535,0.004574395],"genre_scores_gemma":[0.9060767,0.0005750307,0.09009261,0.0000856156,0.00007434257,0.0001669664,0.0001405604,0.0000570337,0.00273105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001478747,"threshold_uncertainty_score":0.007820427,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}