{"id":"W4379347857","doi":"10.1017/cjn.2023.67","title":"Author Index","year":2023,"lang":"fr","type":"paratext","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Content (measure theory); Information retrieval; Computer science; Link (geometry); World Wide Web; Computer network; Mathematics","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":[0.001043428,0.00129844,0.001584217,0.009010587,0.001704657,0.004453199,0.001255119,0.001420112,0.8860843],"category_scores_gemma":[0.01340285,0.000535226,0.0005062893,0.007574406,0.0003992453,0.003092534,0.001846074,0.001401044,0.8416656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001763,"about_ca_system_score_gemma":0.003078536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028884,"about_ca_topic_score_gemma":0.004113604,"domain_scores_codex":[0.998884,0.0001113464,0.0001773296,0.0001622524,0.0005657293,0.00009933635],"domain_scores_gemma":[0.9897699,0.001386107,0.0004965106,0.0006268311,0.006433642,0.001287043],"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":[0.000007360356,0.00001007772,0.000111665,0.0001526298,9.581828e-7,0.00002490592,0.0000286972,0.00002249155,0.0000629401,0.0008024179,0.9734895,0.02528644],"study_design_scores_gemma":[0.000003844939,0.000006057856,0.0002270289,0.0001532822,0.000001201877,0.00005307987,0.00003221204,0.00002057303,0.00005638357,0.0006884635,0.9987534,0.000004341618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003496676,0.002099822,0.00175987,0.005505194,0.01113607,0.0006485417,0.09469958,0.002999105,0.8808022],"genre_scores_gemma":[0.001481885,0.002232414,0.001058759,0.001371857,0.002064029,0.0003743456,0.02949075,0.0008682708,0.9610577],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1139157,"threshold_uncertainty_score":0.1624868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07190743370077131,"score_gpt":0.3277592765473759,"score_spread":0.2558518428466046,"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."}}