{"id":"W1539644673","doi":"10.3968/gh.v1i1.5262","title":"Increasing Colonoscopy Compliance Using a Blood-Based Risk Assessment Test for Colorectal Cancer","year":2014,"lang":"es","type":"article","venue":"Gastroenterología y Hepatología","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Colonoscopy; Medicine; Colorectal cancer; Incidence (geometry); Blood test; Test (biology); Internal medicine; Compliance (psychology); Cancer; Psychology","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"],"consensus_categories":[],"category_scores_codex":[0.001563327,0.0008575717,0.001569121,0.0003963864,0.000858808,0.0002042473,0.0004123828,0.0005201629,0.0001196047],"category_scores_gemma":[0.001587566,0.0008821641,0.0005471493,0.0004417493,0.0005497829,0.0001838581,0.0001689119,0.001030286,0.00001440805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008051762,"about_ca_system_score_gemma":0.0005470251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003826068,"about_ca_topic_score_gemma":0.0009712394,"domain_scores_codex":[0.994438,0.0009157851,0.001068578,0.001391256,0.0005396385,0.001646772],"domain_scores_gemma":[0.9954345,0.001664976,0.001157165,0.0006378188,0.0005539734,0.0005515761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02022349,0.0008019721,0.9538473,0.0006323839,0.0004511024,0.00002298338,0.00004492031,0.001026256,0.01953404,0.00001598027,0.000207807,0.003191802],"study_design_scores_gemma":[0.01010999,0.02701991,0.4325627,0.001613645,0.002505329,0.0002570709,0.00004551728,0.5152037,0.008674068,0.00003805634,0.001470991,0.0004990035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448018,0.0005624588,0.04860462,0.0009676541,0.001754792,0.001995909,0.0008299318,0.0003209004,0.0001619175],"genre_scores_gemma":[0.9671516,0.0001627937,0.02952094,0.001155676,0.001071656,0.0006560403,0.0001156878,0.0001411146,0.00002447245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5212846,"threshold_uncertainty_score":0.9993629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841333720833008,"score_gpt":0.3256642001343242,"score_spread":0.2972508629259941,"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."}}