{"id":"W4294069111","doi":"10.1109/jsen.2022.3199291","title":"IEEE Sensors Council Information","year":2022,"lang":"ru","type":"article","venue":"IEEE Sensors Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Politecnico di Torino; Auburn University; Oklahoma State University","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002510028,0.001518723,0.001526674,0.003601106,0.001402789,0.003254823,0.002300591,0.002994469,0.5229456],"category_scores_gemma":[0.006795021,0.0009138637,0.0006904053,0.002809195,0.0005389582,0.002968916,0.002112334,0.002570778,0.4187563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190777,"about_ca_system_score_gemma":0.002699774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002831272,"about_ca_topic_score_gemma":0.005615202,"domain_scores_codex":[0.9974737,0.0003728681,0.0001048706,0.0002630512,0.00163882,0.0001466745],"domain_scores_gemma":[0.9955055,0.0006470911,0.0001867345,0.0009011796,0.002477588,0.0002819231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006775092,0.00004263484,0.00009192516,0.0002248258,0.000007016676,0.00002646087,0.00001691023,0.0003913821,0.001154219,0.003737263,0.8956909,0.09854884],"study_design_scores_gemma":[0.0000138243,0.00002587707,0.0001940877,0.0000752514,0.000007948384,0.00004622374,0.00001810154,0.0009115411,0.001257966,0.002328515,0.9951068,0.00001381369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008637451,0.004735391,0.03600093,0.006788917,0.009243296,0.000746834,0.01919431,0.006550417,0.9158762],"genre_scores_gemma":[0.008228641,0.005057701,0.009198035,0.002303305,0.001368378,0.0007949058,0.02298531,0.001842109,0.9482216],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4770544,"threshold_uncertainty_score":0.6804601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06187481738380093,"score_gpt":0.2035613589081327,"score_spread":0.1416865415243317,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}