{"id":"W4249417229","doi":"10.1109/jsen.2018.2870233","title":"IEEE Sensors Council Information","year":2018,"lang":"ru","type":"article","venue":"IEEE Sensors Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003063677,0.0004553811,0.0008492146,0.0005464412,0.001229845,0.001138025,0.0005296919,0.0003021173,0.01639996],"category_scores_gemma":[0.0003939595,0.0005210208,0.0004392618,0.0004276416,0.0006720284,0.001991946,0.00007395176,0.0006470166,0.1518651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377643,"about_ca_system_score_gemma":0.0003216786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001480533,"about_ca_topic_score_gemma":0.00002619613,"domain_scores_codex":[0.9962245,0.00005248753,0.001871581,0.0005284738,0.0002891094,0.001033809],"domain_scores_gemma":[0.9964443,0.00009063518,0.001659756,0.0005296026,0.0008571743,0.0004185725],"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":[0.0001108325,0.00007863203,0.001435124,0.00003656719,0.0004358684,0.00002635321,0.009856899,0.001241392,0.00002001327,0.001347616,0.9841602,0.001250506],"study_design_scores_gemma":[0.001554936,0.0002190382,0.001032675,0.00007163821,0.00005692031,0.000265073,0.003483274,0.008146686,0.0002849477,0.001046874,0.9831154,0.0007224768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5019416,0.000807145,0.0003768404,0.0007331902,0.06112195,0.0002464963,0.000937301,0.00005179091,0.4337837],"genre_scores_gemma":[0.6687638,0.003824807,0.0005873416,0.001192441,0.006569293,0.000004287792,0.000006923875,0.00006160518,0.3189895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1668222,"threshold_uncertainty_score":0.9998989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06718479986717937,"score_gpt":0.2171752845312347,"score_spread":0.1499904846640553,"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."}}