{"id":"W2790506350","doi":"10.1093/jcag/gwy009.197","title":"A197 A PREDICTION MODEL OF RISK OF HARBOURING ADVANCED COLORECTAL NEOPLASMS IN LOW TO MODERATE RISK PERSONS OVER AGE 50","year":2018,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Colonoscopy; Medicine; Colorectal cancer; Family history; Incidence (geometry); Population; Polypectomy; Risk assessment; Internal medicine; Cancer; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718317,0.0009707193,0.000771763,0.00130361,0.0007191453,0.001406496,0.001522116,0.0009522584,0.004219817],"category_scores_gemma":[0.004274712,0.0005631238,0.001019097,0.0008126569,0.0005502672,0.0003442271,0.0007503022,0.0008519799,0.0006096864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003429912,"about_ca_system_score_gemma":0.004139333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.399598,"about_ca_topic_score_gemma":0.2503358,"domain_scores_codex":[0.9993529,0.0001771029,0.00003699802,0.0001756449,0.00006915411,0.0001882663],"domain_scores_gemma":[0.9974973,0.001222187,0.0003492914,0.00007716333,0.0004754587,0.0003787729],"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":[0.0008900743,0.0003756325,0.8721471,0.00007864191,0.0004148193,0.0005515185,0.0004024322,0.1016963,0.0004538604,0.001700918,0.00666435,0.01462438],"study_design_scores_gemma":[0.0001875692,0.0002200109,0.21269,0.00005982166,0.0002539918,0.0001797276,0.0002978594,0.7833628,0.0001026725,0.00145555,0.001152309,0.0000376331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820713,0.0003588487,0.007430783,0.001552262,0.00005464538,0.0001352331,0.006008965,0.0001409464,0.002246959],"genre_scores_gemma":[0.9923183,0.0001299533,0.001936631,0.00007411353,0.00003390389,0.0001040321,0.002983124,0.000007037524,0.002412978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.399598,"threshold_uncertainty_score":0.7945442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007048772454978615,"score_gpt":0.2242107244306678,"score_spread":0.2171619519756892,"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."}}