{"id":"W2037712084","doi":"10.1503/cmaj.080760","title":"Cancer in Canada in 2008","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Cancer Society; Ontario Institute for Cancer Research; Cancer Care Ontario","funders":"","keywords":"Cancer; Context (archaeology); Data science; Computer science; Medicine; Geography; Archaeology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004373435,0.000067605,0.0001876098,0.0002301949,0.00008109251,0.000006617012,0.00005809242,0.0001478493,0.002434661],"category_scores_gemma":[0.0006742221,0.0000664311,0.00003261978,0.0004248462,0.00001199631,0.0000497753,0.000004200037,0.0009248558,0.0000100528],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01134883,"about_ca_system_score_gemma":0.03475586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931608,"about_ca_topic_score_gemma":0.9999174,"domain_scores_codex":[0.9983107,0.00006150253,0.0002962935,0.0001011089,0.0008641818,0.0003662186],"domain_scores_gemma":[0.9987671,0.00005626268,0.00007376636,0.00004463524,0.0001227781,0.0009354617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005638633,0.00000731707,0.929311,0.000002666506,0.00001259109,0.002490188,0.0001315565,0.00004720122,0.000002432852,0.000001344006,0.04433163,0.02360568],"study_design_scores_gemma":[0.001231711,0.00005858718,0.9295923,0.00009529319,0.00000398052,0.001036656,0.0001464663,0.0007682521,0.00001561735,0.000006812299,0.06696881,0.00007547665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749981,0.0005970746,0.000005192299,0.02037329,0.0007364178,0.00006914481,0.000007786868,0.000005222233,0.003207785],"genre_scores_gemma":[0.9929202,0.0004367835,0.00001483528,0.00559371,0.0005674065,0.000008165019,0.000001586323,0.000007263815,0.0004500338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02353021,"threshold_uncertainty_score":0.9984772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009461005071532786,"score_gpt":0.2334301250325111,"score_spread":0.2239691199609783,"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."}}