{"id":"W4408399099","doi":"10.25011/cim.v43i4.35195","title":"Hats Off to The Cim Reviewers of 2020","year":2020,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03832426,0.001600826,0.002155989,0.006019569,0.005288493,0.02146606,0.002495366,0.01127431,0.07714711],"category_scores_gemma":[0.2320125,0.001038686,0.002305717,0.002972845,0.003468435,0.006606192,0.005427417,0.01083915,0.07691441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004543825,"about_ca_system_score_gemma":0.02285309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003241807,"about_ca_topic_score_gemma":0.009516141,"domain_scores_codex":[0.9466163,0.009586934,0.005602357,0.004430574,0.02991633,0.003847485],"domain_scores_gemma":[0.6051693,0.02530316,0.02021503,0.01532317,0.2577156,0.07627373],"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":[0.00003654668,0.000008158044,0.0002571075,0.00007070572,0.000008376919,0.0001076529,0.00004832525,0.000007695331,0.00005229268,0.000493616,0.9882091,0.01070037],"study_design_scores_gemma":[0.00001641146,0.00002016187,0.0004770682,0.0002637725,0.00001028301,0.0003357996,0.0002342359,0.00004473054,0.00008319931,0.0007836572,0.9977039,0.00002692255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0006119632,0.009206402,0.001106118,0.4070267,0.5640171,0.0001589346,0.0005272812,0.0004868447,0.01685864],"genre_scores_gemma":[0.01049936,0.01163107,0.00424868,0.3215043,0.4344663,0.0004827131,0.001538013,0.001322664,0.2143068],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9616758,"threshold_uncertainty_score":0.2580828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5246800002103204,"score_gpt":0.4961404334691251,"score_spread":0.02853956674119529,"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."}}