{"id":"W4247658371","doi":"10.1088/1757-899x/486/1/011002","title":"COMMITTEES","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Wright; Management; Political science; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002803024,0.0001565741,0.000199428,0.0001242402,0.00006531262,0.0002459836,0.0002712107,0.00004296898,0.0004527553],"category_scores_gemma":[0.00001744006,0.0001406886,0.00001447136,0.0002637496,0.0001172598,0.0007420251,0.00005859822,0.00006880106,0.00007845887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000295683,"about_ca_system_score_gemma":0.00002511608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007664867,"about_ca_topic_score_gemma":0.000001127151,"domain_scores_codex":[0.9990757,0.000004857143,0.0001706022,0.0001956866,0.0002367306,0.0003164361],"domain_scores_gemma":[0.9995961,0.00001166781,0.00001430743,0.0002114049,0.00006739094,0.00009908695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003062291,0.000001808591,0.00004340315,0.00008340281,0.00000589689,0.00000131016,0.0001958948,0.003353739,0.9929505,0.001991771,0.00001310672,0.001356084],"study_design_scores_gemma":[0.0001102557,0.00003216559,0.004065874,0.00009088164,0.000008187524,0.00001722736,0.00013043,0.0101483,0.9806332,0.0001429996,0.004323329,0.0002971372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960679,0.00007987117,0.0004539681,0.00005680678,0.0007974558,0.00008130036,0.000006018046,0.0002980768,0.002158612],"genre_scores_gemma":[0.9990217,0.000108454,0.0007065722,0.00001625519,0.00003417923,0.000006764938,0.000001842111,0.00001703255,0.00008721089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01231731,"threshold_uncertainty_score":0.5737114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006881075248098462,"score_gpt":0.1875100615979227,"score_spread":0.1806289863498243,"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."}}