{"id":"W4251952219","doi":"10.1109/jsen.2020.3021448","title":"IEEE Sensors Council Information","year":2020,"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":"Technische Universiteit Delft; École Polytechnique Fédérale de Lausanne; Politecnico di Torino; University of Limerick; University of Glasgow; Budapesti Műszaki és Gazdaságtudományi Egyetem; Universidad de Navarra; Auburn 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001729109,0.0004524332,0.0009490762,0.0002837505,0.0007444537,0.001069643,0.0005241866,0.0002619367,0.01088742],"category_scores_gemma":[0.0005316635,0.0005310057,0.0005112587,0.0004444626,0.0002595764,0.001864049,0.00007629041,0.0008420416,0.09838185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009226276,"about_ca_system_score_gemma":0.000299787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007040631,"about_ca_topic_score_gemma":0.000004699286,"domain_scores_codex":[0.9963472,0.00005098128,0.00189431,0.0005421265,0.0002890618,0.0008762667],"domain_scores_gemma":[0.996916,0.00008983145,0.001566738,0.0003387308,0.000428586,0.0006601253],"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":[0.0001243716,0.00005334191,0.00123964,0.00007754231,0.0004447024,0.00005705194,0.01507493,0.01432139,0.00002288636,0.0009177489,0.9668335,0.0008329246],"study_design_scores_gemma":[0.001749157,0.0001596646,0.0004718201,0.00004647476,0.00006203412,0.0001305717,0.005151374,0.02267244,0.0001467143,0.0003537685,0.9683395,0.0007164578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5269034,0.002456856,0.0008523485,0.007734932,0.04759662,0.0004896195,0.002393448,0.0001125748,0.4114602],"genre_scores_gemma":[0.8489923,0.008625077,0.0006819772,0.005899542,0.005576298,0.000005940468,0.00001448223,0.00009247018,0.1301119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3220889,"threshold_uncertainty_score":0.9999673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08947393277982993,"score_gpt":0.206556121004257,"score_spread":0.1170821882244271,"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."}}