{"id":"W4383818050","doi":"10.3390/cancers15143545","title":"Development and External Validation of Partial Proportional Odds Risk Prediction Models for Cancer Stage at Diagnosis among Males and Females in Canada","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Alberta Health Services; Alberta Health; University of Alberta; University of Calgary","funders":"Health Canada; Canadian Institutes of Health Research; Alberta Cancer Foundation; Alberta Health Services; Government of Alberta; Partenariat Canadien Contre Le Cancer","keywords":"Stage (stratigraphy); Odds; Medicine; Cancer; Logistic regression; Statistics; Oncology; Internal medicine; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01765797,0.0007570909,0.0006869163,0.0009141353,0.00145423,0.001276475,0.001719871,0.000511614,0.001779239],"category_scores_gemma":[0.04576799,0.0004453689,0.001203194,0.001363706,0.0007145338,0.0005019574,0.001412756,0.001428883,0.0004342406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009545756,"about_ca_system_score_gemma":0.01865158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8938752,"about_ca_topic_score_gemma":0.8785657,"domain_scores_codex":[0.9953087,0.002181459,0.0002791587,0.000793242,0.00100297,0.0004344461],"domain_scores_gemma":[0.9744903,0.01275008,0.001229501,0.002057884,0.008806258,0.0006660339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008502938,0.0002001624,0.8971363,0.0001020832,0.0004994303,0.0001282744,0.0006670896,0.03891209,0.0003863113,0.001723186,0.005168911,0.05422575],"study_design_scores_gemma":[0.0002173719,0.0002039235,0.6492712,0.000151097,0.0003239072,0.0001610929,0.0006340853,0.3394378,0.001275862,0.001330837,0.006919448,0.00007326481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601701,0.0004829732,0.02658986,0.000662795,0.00006359416,0.0005161742,0.007426595,0.0003132806,0.003774422],"genre_scores_gemma":[0.9755387,0.0001759276,0.01424773,0.0001079312,0.00001400467,0.0002179686,0.007663402,0.00005621291,0.001978062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1061248,"threshold_uncertainty_score":0.2134994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04834575592670942,"score_gpt":0.2818253140373903,"score_spread":0.2334795581106809,"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."}}