{"id":"W4241354537","doi":"10.1017/cjn.2020.272","title":"CJN volume 48 issue 1 Cover and Front matter","year":2021,"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":["insufficient_payload"],"category_scores_codex":[0.001170419,0.0009511223,0.0009445327,0.002882732,0.00179664,0.005928924,0.001102646,0.002362697,0.8280035],"category_scores_gemma":[0.005386371,0.000329674,0.0005719257,0.001571982,0.0007624029,0.001409006,0.001546233,0.002274932,0.6939598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00280511,"about_ca_system_score_gemma":0.004005813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007627748,"about_ca_topic_score_gemma":0.01779828,"domain_scores_codex":[0.9987943,0.00007660182,0.0000625609,0.0001572481,0.0007642644,0.0001449887],"domain_scores_gemma":[0.9948729,0.0004691607,0.0001405575,0.0003149619,0.002370351,0.001832111],"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":[0.0000204778,0.00002728464,0.00015135,0.00009257931,0.000002929674,0.0000586453,0.000007033185,0.00001954872,0.0001587051,0.000465147,0.9644545,0.03454187],"study_design_scores_gemma":[0.000007753203,0.000008518412,0.0008839225,0.0001480473,0.000002447255,0.0001578452,0.00002424787,0.00004769503,0.0001108682,0.0002842488,0.9983193,0.000005154129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001056887,0.005913639,0.0003863274,0.01290428,0.06086376,0.0001311365,0.003110633,0.0009651929,0.9146681],"genre_scores_gemma":[0.002738323,0.003053821,0.0003191539,0.002813112,0.007996102,0.00003738313,0.0013978,0.0003636783,0.9812805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1719965,"threshold_uncertainty_score":0.245332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03676363744519864,"score_gpt":0.2159679384082403,"score_spread":0.1792043009630417,"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."}}