{"id":"W4313393036","doi":"10.25011/cim.v45i4.39559","title":"Hats Off to the CIM Reviewers Of 2022","year":2022,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Medicine; Process (computing); Medical education; Psychology; Political science; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"evaluation","study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05086604,0.001574258,0.002975109,0.005755379,0.004663606,0.01296893,0.002735227,0.01365793,0.06759685],"category_scores_gemma":[0.3455701,0.001155749,0.002850143,0.003505067,0.002939374,0.004989125,0.003942561,0.01226546,0.05048522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0042631,"about_ca_system_score_gemma":0.01710155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005361958,"about_ca_topic_score_gemma":0.01055652,"domain_scores_codex":[0.9490469,0.01325917,0.007459596,0.005310106,0.0225651,0.002359211],"domain_scores_gemma":[0.5760224,0.05056933,0.02511832,0.02071977,0.2982476,0.02932261],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004288865,0.000003545989,0.0002224914,0.0001024877,0.00001473353,0.00006711125,0.00003071323,0.000008754948,0.00002783413,0.0003393991,0.9932677,0.005872452],"study_design_scores_gemma":[0.0000368305,0.00001461919,0.0004862396,0.0006536776,0.0000298407,0.0003205282,0.0001608845,0.00008858464,0.00007619181,0.001010329,0.9970836,0.0000386167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002384562,0.007575564,0.001091611,0.4174877,0.5653206,0.0001237886,0.00062771,0.0002598387,0.007274657],"genre_scores_gemma":[0.008022503,0.008601879,0.002753482,0.4502696,0.4447317,0.0006397475,0.001324196,0.0009493268,0.08270755],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9491339,"threshold_uncertainty_score":0.2690085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9066931462513458,"score_gpt":0.5865846385363537,"score_spread":0.3201085077149921,"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."}}