{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00257862,0.001479143,0.001505573,0.003579488,0.001389398,0.003084462,0.002382599,0.0029355,0.5315672],"category_scores_gemma":[0.007463691,0.0009259899,0.0006627912,0.002844056,0.000540339,0.003068842,0.002077565,0.002542738,0.3996266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234729,"about_ca_system_score_gemma":0.00264918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002932291,"about_ca_topic_score_gemma":0.005948342,"domain_scores_codex":[0.9973919,0.000403371,0.0001160026,0.0002720456,0.001668293,0.0001482975],"domain_scores_gemma":[0.9952674,0.0007476716,0.0002063707,0.001008701,0.002505865,0.0002640831],"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":[0.00007320845,0.00004630079,0.0001014182,0.0002463635,0.000007304509,0.00002807029,0.00001872667,0.0004214853,0.001172355,0.003721592,0.89011,0.1040532],"study_design_scores_gemma":[0.00001372495,0.00002459353,0.0002037696,0.00007671883,0.000008148966,0.00004719857,0.00001915088,0.0009933094,0.001347826,0.002337464,0.9949142,0.00001395318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009363798,0.004823079,0.03500171,0.006935208,0.008502122,0.0007144359,0.01997974,0.006256654,0.9168507],"genre_scores_gemma":[0.01017145,0.005179734,0.009851401,0.002314723,0.001426022,0.0008137976,0.02429208,0.001987325,0.9439635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5315672,"threshold_uncertainty_score":0.6681626,"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."}}