{"id":"W4251185138","doi":"10.1017/cjn.2019.231","title":"CJN volume 46 issue 4 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":"","keywords":"Front cover; Cover (algebra); Volume (thermodynamics); Front (military); Environmental science; Content (measure theory); Action (physics); Computer science; Mathematics; Geography; 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":[],"category_scores_codex":[0.001156142,0.0009390778,0.0008716031,0.002695826,0.001882554,0.005781299,0.001018628,0.002388767,0.8335661],"category_scores_gemma":[0.004985237,0.0003254861,0.0005842525,0.001457786,0.0007694799,0.0013709,0.001571997,0.00222067,0.7040688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002816674,"about_ca_system_score_gemma":0.004287391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008337943,"about_ca_topic_score_gemma":0.01943293,"domain_scores_codex":[0.9988641,0.00007092929,0.00005964483,0.0001474504,0.0007185136,0.0001393981],"domain_scores_gemma":[0.9954053,0.0003770082,0.0001205672,0.0002866727,0.002077276,0.001733112],"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":[0.00002038838,0.00002695918,0.0001664188,0.00008313911,0.000003035744,0.00006481015,0.000007257917,0.00002116073,0.0001730037,0.0005085529,0.9648189,0.03410638],"study_design_scores_gemma":[0.000007526119,0.000007921189,0.0008191714,0.000131662,0.000002471635,0.0001640222,0.00002374824,0.00004835649,0.0001181594,0.0002873851,0.9983845,0.000005000102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001042787,0.004919996,0.0003688729,0.01260158,0.05071874,0.0001187036,0.002879425,0.0009028922,0.926447],"genre_scores_gemma":[0.00263008,0.002456357,0.0003000452,0.002546552,0.006199647,0.00002991487,0.001146901,0.0003154509,0.9843749],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8335661,"threshold_uncertainty_score":0.2373977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990831349023074,"score_gpt":0.2087779393991687,"score_spread":0.178869625908938,"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."}}