{"id":"W4248854720","doi":"10.1017/cjn.2019.24","title":"CJN volume 46 issue 2 Cover and Front matter","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge","keywords":"Front cover; Front (military); Cover (algebra); Volume (thermodynamics); Content (measure theory); Environmental science; Action (physics); Mathematics; Physics; Meteorology; Engineering; Mechanical engineering; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009310773,0.0008406097,0.0006343361,0.001950198,0.001537986,0.005457372,0.000879225,0.002626172,0.8437278],"category_scores_gemma":[0.003621372,0.0003217876,0.0005873078,0.001044185,0.0006867092,0.001492497,0.001623034,0.002168501,0.7495013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609467,"about_ca_system_score_gemma":0.002385483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667765,"about_ca_topic_score_gemma":0.0107122,"domain_scores_codex":[0.9991928,0.00005245677,0.00003740189,0.000126557,0.0004869536,0.0001039083],"domain_scores_gemma":[0.9970041,0.0002599463,0.00009013263,0.0002082958,0.001241438,0.001196118],"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":[0.00002371105,0.00003370374,0.0001651784,0.00006999874,0.000002617993,0.00006544535,0.00000644109,0.00003353807,0.0002524714,0.0007266194,0.9571701,0.04145029],"study_design_scores_gemma":[0.000006511843,0.000008559004,0.0005464851,0.00007813866,0.000001326719,0.000107471,0.00001577241,0.0000600035,0.000100474,0.0003071296,0.9987638,0.000004360186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006992161,0.002379877,0.0003535408,0.006787248,0.03306614,0.00009139156,0.001343951,0.0006328001,0.9546459],"genre_scores_gemma":[0.001389977,0.0008235603,0.0001768181,0.001416776,0.003820779,0.00001705192,0.000456939,0.0001860514,0.9917121],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1562722,"threshold_uncertainty_score":0.2229032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02925566886714412,"score_gpt":0.2083325873537162,"score_spread":0.1790769184865721,"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."}}