{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002337381,0.0004319061,0.0009363054,0.0003691186,0.0008908427,0.001361927,0.00037687,0.000295658,0.01687172],"category_scores_gemma":[0.0005649581,0.0005274111,0.0005700606,0.0004922905,0.0002484669,0.001767633,0.0000840836,0.0007919665,0.06563399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434321,"about_ca_system_score_gemma":0.0006318942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007669376,"about_ca_topic_score_gemma":0.00002151136,"domain_scores_codex":[0.9962284,0.00007200373,0.001898665,0.0005625165,0.0002989586,0.0009394664],"domain_scores_gemma":[0.9966257,0.0001210621,0.00140606,0.0005447529,0.0008927384,0.0004096546],"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":[0.00006179931,0.0001350366,0.001722024,0.00007747887,0.0006704206,0.0002327862,0.007350048,0.01062051,0.00004426181,0.002049614,0.9757378,0.001298204],"study_design_scores_gemma":[0.001680813,0.00006122441,0.0009300731,0.00008580441,0.00007137521,0.0007140202,0.006339823,0.005665672,0.0005335992,0.001033736,0.9821537,0.000730171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4895686,0.003945619,0.0003661729,0.001600838,0.06335898,0.0002062034,0.001580135,0.00005125766,0.4393222],"genre_scores_gemma":[0.3586614,0.01606538,0.0008934401,0.001705959,0.003355612,0.000005487646,0.00002401662,0.00007561581,0.6192131],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1798909,"threshold_uncertainty_score":0.9997178,"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."}}