{"id":"W4200229962","doi":"10.1109/jsen.2021.3109761","title":"IEEE Sensors Council Information","year":2021,"lang":"ru","type":"article","venue":"IEEE Sensors Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Cheng Kung University; Technische Universiteit Delft; École Polytechnique Fédérale de Lausanne; University of Glasgow; Universidad de Navarra; Auburn University; Imperial College London; University of Limerick; Politecnico di Torino; Budapesti Műszaki és Gazdaságtudományi Egyetem","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":[0.002444106,0.001515627,0.001507261,0.003567455,0.001377999,0.003211382,0.002276829,0.002989658,0.5190446],"category_scores_gemma":[0.006607038,0.0009060191,0.0006828526,0.002799397,0.0005315801,0.002939218,0.002078479,0.002545323,0.4149104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179494,"about_ca_system_score_gemma":0.002634758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002818606,"about_ca_topic_score_gemma":0.005616171,"domain_scores_codex":[0.997544,0.0003609193,0.0001024887,0.0002573194,0.001592749,0.0001424384],"domain_scores_gemma":[0.9956637,0.0006297974,0.0001813561,0.000865595,0.002388533,0.0002710007],"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":[0.00006737612,0.00004217488,0.00009118205,0.0002260437,0.000007009198,0.00002662088,0.00001692954,0.0003888722,0.001164958,0.003745692,0.8934522,0.1007709],"study_design_scores_gemma":[0.00001351941,0.00002534768,0.0001925971,0.00007485651,0.00000794844,0.00004655519,0.00001777846,0.0009035121,0.001249833,0.002306769,0.9951478,0.00001363467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008643186,0.004885997,0.03604731,0.006790571,0.009278561,0.000723148,0.01871675,0.006494493,0.9161989],"genre_scores_gemma":[0.008125816,0.005140338,0.009059769,0.002242618,0.001357447,0.0007547982,0.02220974,0.001807554,0.9493019],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4809554,"threshold_uncertainty_score":0.6860244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06555499376963123,"score_gpt":0.2103157656280844,"score_spread":0.1447607718584532,"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."}}