{"id":"W4309680804","doi":"10.3390/curroncol29110703","title":"Evaluation of Colonoscopy and Sigmoidoscopy Utilization for Colorectal Cancer Screening in Georgia, USA","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Augusta University","keywords":"Medicine; Sigmoidoscopy; Behavioral Risk Factor Surveillance System; Colonoscopy; Colorectal cancer; Incidence (geometry); Marital status; Logistic regression; Population; Psychological intervention; Colorectal cancer screening; Odds ratio; Cancer; Demography; Internal medicine; Gynecology; Environmental health; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008356598,0.0001684596,0.0001557838,0.001440579,0.0003127508,0.0003843562,0.0003717978,0.0002672671,0.0007702939],"category_scores_gemma":[0.003855556,0.0001635271,0.0004816557,0.001529973,0.0001407762,0.0002419076,0.000399527,0.0004030944,0.0002429617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257968,"about_ca_system_score_gemma":0.0016512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09821356,"about_ca_topic_score_gemma":0.2683178,"domain_scores_codex":[0.9994358,0.0001503548,0.00007951146,0.00007844451,0.0001856903,0.00007008703],"domain_scores_gemma":[0.9979413,0.0002855654,0.0008355424,0.00005034107,0.0006047923,0.0002824674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002671033,0.0000254544,0.9953409,0.00003193563,0.0000351558,0.0000470011,0.0001012134,0.00004040415,0.0001204721,0.00001371312,0.001139076,0.003077853],"study_design_scores_gemma":[0.000001251418,0.0000217385,0.9992725,0.00001522845,0.00001292319,0.00004993811,0.0001319426,0.0001095837,0.00001908065,0.00000391859,0.000360062,0.000001785193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923825,0.0004959946,0.0001265039,0.000480969,0.00002017299,0.0000735275,0.003553524,0.00002320787,0.002843565],"genre_scores_gemma":[0.9960751,0.000432477,0.000444732,0.0002601981,0.000009438983,0.00004771896,0.002302371,0.000004321321,0.0004236482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09821356,"threshold_uncertainty_score":0.1952838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2396648310146889,"score_gpt":0.4743891857453914,"score_spread":0.2347243547307025,"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."}}