{"id":"W1523394866","doi":"10.1002/9781444325027.app3","title":"Appendix 3: Critical Appraisal","year":2010,"lang":"en","type":"other","venue":"","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Critical appraisal; Appendix; Computer science; Geology; Medicine; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01852066,0.001573387,0.001768881,0.008485119,0.001996646,0.003233686,0.002617218,0.002536608,0.7193244],"category_scores_gemma":[0.1479147,0.001346015,0.001509588,0.006997868,0.0007997711,0.003225695,0.00244047,0.00320325,0.3513056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004508795,"about_ca_system_score_gemma":0.01760552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005429386,"about_ca_topic_score_gemma":0.01003455,"domain_scores_codex":[0.9834368,0.007709221,0.003278427,0.0006412342,0.004557101,0.000377139],"domain_scores_gemma":[0.7859686,0.126018,0.005772719,0.006638444,0.07320796,0.002394314],"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":[0.00005561138,0.00005841188,0.0000432618,0.00140802,0.000005644311,0.00002725606,0.00005155793,0.0001048873,0.00005656125,0.001097187,0.9621166,0.03497495],"study_design_scores_gemma":[0.0004373604,0.00009093129,0.001495339,0.005275287,0.00003309278,0.0001569852,0.0003222482,0.0006279299,0.0004462932,0.008327257,0.9827098,0.00007733484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001835816,0.001975633,0.0543341,0.01145396,0.007198423,0.08777101,0.3945334,0.008304336,0.4325933],"genre_scores_gemma":[0.008467844,0.003871202,0.2396478,0.007923665,0.002382331,0.1745049,0.1665532,0.003249118,0.3934001],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7193244,"threshold_uncertainty_score":0.4003496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1733314605495404,"score_gpt":0.5623880453898987,"score_spread":0.3890565848403584,"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."}}