{"id":"W4250675643","doi":"10.1503/cmaj.151256","title":"Highlights","year":2015,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Thermal Regulation in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001955216,0.00009283656,0.0002208624,0.0002130214,0.00008052623,0.00003230235,0.0001156382,0.0003198358,0.003442005],"category_scores_gemma":[0.004371086,0.00007378669,0.00006946405,0.0002351982,0.00003757788,0.00009071377,0.000007938439,0.0007037039,0.0005666179],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740243,"about_ca_system_score_gemma":0.005770762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007265413,"about_ca_topic_score_gemma":0.00242547,"domain_scores_codex":[0.9968584,0.00009987119,0.0003651213,0.0001059356,0.002187017,0.0003836886],"domain_scores_gemma":[0.9938542,0.0000738177,0.0001378636,0.0001084194,0.0007883981,0.005037363],"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":[0.000030517,0.00004383091,0.0760719,0.000006180128,0.000121295,0.001649481,0.0005096952,0.000004788677,0.00002258607,0.001850214,0.8995662,0.02012326],"study_design_scores_gemma":[0.002101904,0.0001038425,0.05410883,0.00006783575,0.00003321123,0.002067138,0.0002535205,0.0001698313,0.00002461594,0.0002915782,0.9406989,0.00007880502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4488052,0.0005987126,0.0003550479,0.4804863,0.004304548,0.0002459292,0.000005935325,0.0001678993,0.06503037],"genre_scores_gemma":[0.953164,0.00005031243,0.0004677607,0.0331081,0.00641284,0.000003874541,0.00001078987,0.00003919865,0.006743117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5043588,"threshold_uncertainty_score":0.9998656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418078518948352,"score_gpt":0.2624816253746832,"score_spread":0.2483008401851997,"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."}}