{"id":"W4388807185","doi":"10.47820/recima21.v4i11.4319","title":"COLONOGRAFIA POR TOMOGRAFIA COMPUTADORIZADA NA TRIAGEM DE CÂNCER COLORRETAL: UMA REVISÃO DE LITERATURA","year":2023,"lang":"pt","type":"article","venue":"RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218","topic":"Women's cancer prevention and management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MD Precision (Canada)","funders":"","keywords":"Medicine; Gynecology; Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.005563695,0.001785926,0.00274864,0.001631181,0.001469212,0.001554415,0.001675977,0.0008644007,0.002951958],"category_scores_gemma":[0.0008521443,0.001781453,0.001711646,0.006564464,0.0006324661,0.0005832284,0.001932212,0.001844698,0.002716053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002873062,"about_ca_system_score_gemma":0.001068842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004906337,"about_ca_topic_score_gemma":0.00002126163,"domain_scores_codex":[0.9869132,0.001521495,0.002999862,0.002952613,0.002012132,0.003600712],"domain_scores_gemma":[0.9925409,0.0006563631,0.001487657,0.002639249,0.0006710529,0.002004805],"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":[0.008508043,0.007555321,0.02505737,0.02060081,0.005031124,0.007583161,0.04246308,0.001413159,0.01628959,0.01235593,0.7300526,0.1230897],"study_design_scores_gemma":[0.01526839,0.002577782,0.03999313,0.00921684,0.002632548,0.0002744781,0.008086799,0.04952933,0.0005432712,0.0001694606,0.8686447,0.00306328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9144755,0.02218839,0.009095637,0.01363731,0.01010117,0.01674635,0.001678888,0.003628921,0.008447851],"genre_scores_gemma":[0.8733836,0.005424136,0.00350151,0.001420254,0.002133943,0.0009617199,0.002022912,0.0005372088,0.1106147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.138592,"threshold_uncertainty_score":0.9998307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850707656251788,"score_gpt":0.3313000259398919,"score_spread":0.302792949377374,"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."}}