{"id":"W4234085263","doi":"10.1109/jsen.2019.2926014","title":"IEEE Sensors Council Information","year":2019,"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":"","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":[0.002487372,0.001519902,0.001522816,0.003679341,0.001382005,0.003184982,0.002309332,0.002972731,0.5191985],"category_scores_gemma":[0.006756663,0.0009195585,0.0006868577,0.00285705,0.0005360745,0.002934689,0.0021078,0.002528849,0.4086688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214994,"about_ca_system_score_gemma":0.002625402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002825339,"about_ca_topic_score_gemma":0.005648158,"domain_scores_codex":[0.9974715,0.000376103,0.0001089749,0.0002646114,0.001635545,0.0001433903],"domain_scores_gemma":[0.9955761,0.0006436012,0.0001892124,0.0009036835,0.002425492,0.0002619169],"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":[0.00007194975,0.00004362887,0.00009696672,0.0002406803,0.000007576949,0.00002793143,0.00001795419,0.0004191062,0.00127591,0.003922655,0.8885161,0.1053595],"study_design_scores_gemma":[0.0000139677,0.00002558426,0.0002031433,0.00007680267,0.0000084354,0.00004864864,0.00001817094,0.000991411,0.001381733,0.002377256,0.9948403,0.00001456881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009020928,0.004915645,0.03792601,0.006717864,0.009034687,0.0007386875,0.01960719,0.006544698,0.9136131],"genre_scores_gemma":[0.009015328,0.005239237,0.009828982,0.0022551,0.001370265,0.000804736,0.02385274,0.001848001,0.9457855],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4808015,"threshold_uncertainty_score":0.685805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04772874894000192,"score_gpt":0.1999579631817166,"score_spread":0.1522292142417147,"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."}}