{"id":"W4400771792","doi":"10.1016/s1499-2671(24)00110-2","title":"Table of Contents","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Table (database); Database; Computer science","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":[0.0008828452,0.0009638839,0.00108592,0.006352268,0.002047592,0.004952101,0.00153279,0.00103014,0.8875456],"category_scores_gemma":[0.008156036,0.0003484713,0.0006667525,0.004791809,0.0004228973,0.001347958,0.001620244,0.001214843,0.7960857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004001439,"about_ca_system_score_gemma":0.007206659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03264392,"about_ca_topic_score_gemma":0.04562493,"domain_scores_codex":[0.9990952,0.000082397,0.00004440672,0.0001292925,0.0005617708,0.0000868654],"domain_scores_gemma":[0.9944231,0.0007707582,0.0001813409,0.0003997642,0.003266376,0.0009586808],"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":[0.000007953003,0.0000140703,0.0001063991,0.00007658148,0.000001716878,0.000008786556,0.000006708567,0.00003213578,0.00003450998,0.0006379402,0.9755182,0.02355489],"study_design_scores_gemma":[0.000004673002,0.000004889102,0.0003784639,0.0001181447,0.000002657547,0.00001778201,0.00002308339,0.00002309092,0.00003995766,0.0005142849,0.998869,0.000004012643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003282168,0.003088567,0.0008428377,0.003825794,0.01054255,0.0004923515,0.07187297,0.001242864,0.9077639],"genre_scores_gemma":[0.001436728,0.002695381,0.0008944127,0.002156465,0.00201168,0.0002470062,0.03192792,0.0006431391,0.9579872],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8875456,"threshold_uncertainty_score":0.1604025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564018233837893,"score_gpt":0.1847549088209983,"score_spread":0.1491147264826194,"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."}}