{"id":"W4309855329","doi":"10.3390/curroncol29120716","title":"Characteristics of Interval Colorectal Cancer: A Canadian Retrospective Population-Level Analysis from Newfoundland and Labrador","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Cancer Institute","keywords":"Medicine; Colonoscopy; Colorectal cancer; Population; Incidence (geometry); Retrospective cohort study; Confidence interval; Univariate analysis; General surgery; Internal medicine; Cancer; Multivariate analysis; Demography; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001380745,0.0005084753,0.000651194,0.002902373,0.002117974,0.001478372,0.001831364,0.0006217026,0.002025998],"category_scores_gemma":[0.003110188,0.0006319146,0.001042797,0.007470904,0.0008094662,0.0005883157,0.001187985,0.0009264956,0.0003165914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02731764,"about_ca_system_score_gemma":0.02222294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858089,"about_ca_topic_score_gemma":0.9895328,"domain_scores_codex":[0.9978225,0.0001512675,0.0002317611,0.0004605213,0.0006746786,0.0006592911],"domain_scores_gemma":[0.9961133,0.0002423319,0.001233727,0.0003159422,0.001371453,0.0007232002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005482984,0.00001606942,0.9976907,0.00003061535,0.00007587756,0.00004982977,0.0001664573,0.000054566,0.00006404814,0.00003601485,0.0007180296,0.001042926],"study_design_scores_gemma":[0.000004912454,0.00002292114,0.9986237,0.00002267567,0.00004639971,0.00007031859,0.0004047705,0.0001506313,0.00002651702,0.000008091029,0.0006095987,0.000009393076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787642,0.001706306,0.0002746051,0.0002901808,0.00001906019,0.0001055847,0.01636126,0.00002730254,0.002451478],"genre_scores_gemma":[0.9931264,0.0005479459,0.000217852,0.0001437114,0.000009365406,0.00004544678,0.005406077,0.00001178325,0.0004914306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02731764,"threshold_uncertainty_score":0.1982043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05369323187507335,"score_gpt":0.3479160912446906,"score_spread":0.2942228593696173,"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."}}