{"id":"W4321066744","doi":"10.15273/dmj.vol44no2.8503","title":"Table of Contents","year":2018,"lang":"en","type":"article","venue":"Dalhousie Medical Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007378124,0.0008283755,0.001115929,0.004055948,0.001254277,0.004157961,0.001516613,0.001069659,0.9096685],"category_scores_gemma":[0.00651058,0.0003216358,0.000546209,0.002632148,0.0003739255,0.001713008,0.001763986,0.001248128,0.8615847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808739,"about_ca_system_score_gemma":0.002665465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005407639,"about_ca_topic_score_gemma":0.005999474,"domain_scores_codex":[0.9993289,0.00007276215,0.00004752316,0.000138796,0.0003457633,0.00006642695],"domain_scores_gemma":[0.9974064,0.0004795195,0.000126924,0.0002578678,0.001270899,0.0004583892],"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":[0.00001670369,0.00002175277,0.0002169148,0.0001404729,0.000002884176,0.00001932943,0.00001413092,0.00003696363,0.00006944085,0.000891944,0.960631,0.03793861],"study_design_scores_gemma":[0.000005578379,0.000009882309,0.0005174458,0.0001148289,0.000002920305,0.00005421091,0.00002946907,0.00003222008,0.00007239936,0.0005001288,0.998656,0.000004758535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006922214,0.002969089,0.001467697,0.004699828,0.008858136,0.0004884198,0.0830361,0.002518469,0.89527],"genre_scores_gemma":[0.003539071,0.002953972,0.001150482,0.002771675,0.002165152,0.0002226687,0.03933657,0.0009278514,0.9469326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9096685,"threshold_uncertainty_score":0.1288469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04443074739480175,"score_gpt":0.2346043574242999,"score_spread":0.1901736100294982,"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."}}