{"id":"W4390979755","doi":"10.1017/cjn.2024.4","title":"CJN volume 51 issue 1 Cover and Front matter","year":2024,"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; Cover (algebra); Front (military); Volume (thermodynamics); Content (measure theory); Action (physics); Computer science; Environmental science; Mathematics; Geography; Physics; Engineering; Meteorology; Mechanical engineering","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":[0.001190244,0.0009507287,0.000952272,0.003026974,0.00185551,0.005980103,0.001056357,0.002388812,0.82917],"category_scores_gemma":[0.005260154,0.0003357639,0.0005782516,0.001575121,0.0007741853,0.001402954,0.001583938,0.002275642,0.7018726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002910996,"about_ca_system_score_gemma":0.003989398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007840651,"about_ca_topic_score_gemma":0.01811496,"domain_scores_codex":[0.9987673,0.00007770176,0.00006520183,0.000163265,0.0007856451,0.0001408126],"domain_scores_gemma":[0.9949438,0.0004567954,0.0001374006,0.0003092569,0.002395212,0.001757537],"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":[0.00002016865,0.0000286557,0.0001691799,0.00009777057,0.000003133053,0.00006419329,0.000007397313,0.0000223046,0.0001775039,0.0004908046,0.9623148,0.0366041],"study_design_scores_gemma":[0.000007731542,0.000008710631,0.0009701911,0.0001596097,0.000002617127,0.0001738084,0.00002487446,0.00005161472,0.0001193107,0.0002783992,0.9981977,0.000005454344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001018799,0.00559849,0.0003761296,0.01177185,0.05331635,0.0001297448,0.002892411,0.0009592412,0.9239369],"genre_scores_gemma":[0.00276241,0.003016419,0.0003250675,0.002754486,0.007014358,0.00003663782,0.001413541,0.0003504108,0.9823267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.17083,"threshold_uncertainty_score":0.2436682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611522190124495,"score_gpt":0.2211120490760834,"score_spread":0.1849968271748384,"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."}}