{"id":"W7094192768","doi":"","title":"Canadian Association of General Surgeons Evidence Based Reviews in Surgery. 2","year":2002,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Association (psychology); Evidence-based practice; MEDLINE; Evidence-based medicine; Public health; Systematic review","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02135801,0.001780162,0.004607525,0.02004259,0.00128267,0.002935804,0.003428333,0.002355728,0.03604664],"category_scores_gemma":[0.07826386,0.001218581,0.002511305,0.0226875,0.00111449,0.00141521,0.001640738,0.002376981,0.005073842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01597396,"about_ca_system_score_gemma":0.1061715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.428565,"about_ca_topic_score_gemma":0.6955156,"domain_scores_codex":[0.9839662,0.004519,0.004060298,0.0006246573,0.006399727,0.0004301581],"domain_scores_gemma":[0.9183386,0.01867933,0.008148693,0.001435997,0.04997747,0.003419806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004034076,0.00003372382,0.001905276,0.08895832,0.001654479,0.00007952328,0.0001132076,0.0004178684,0.0001396379,0.002398311,0.6985821,0.2053142],"study_design_scores_gemma":[0.001149454,0.000126108,0.02755726,0.1084366,0.007064005,0.0002360548,0.0001584918,0.0004705021,0.000281811,0.002887654,0.8514962,0.0001359524],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006052218,0.9212744,0.00258505,0.02557398,0.01177886,0.001745836,0.01537578,0.0001637925,0.02089701],"genre_scores_gemma":[0.0121836,0.9266937,0.02726754,0.006012401,0.003192909,0.002860062,0.007685436,0.0001066163,0.01399757],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.428565,"threshold_uncertainty_score":0.8521409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05413587244771965,"score_gpt":0.2527157844903392,"score_spread":0.1985799120426195,"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."}}