{"id":"W4407554307","doi":"10.1177/10732748251319485","title":"Shooting for the Moon: Can We Cut Cancer Mortality in Canada By 50% By 2050?","year":2025,"lang":"en","type":"article","venue":"Cancer Control","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Statistics Canada; Alberta Health Services; University of Calgary","funders":"","keywords":"Medicine; Cancer; Cancer prevention; Environmental health; Cancer screening; Intervention (counseling); Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447877,0.0002077249,0.0004611064,0.00003284627,0.0001503325,0.00002755771,0.000238336,0.0000709591,0.0001939843],"category_scores_gemma":[0.00009866857,0.0001564825,0.00009065953,0.0002546874,0.00005588544,0.00005869431,0.0000255612,0.0002826976,5.598069e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214779,"about_ca_system_score_gemma":0.003408653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9799162,"about_ca_topic_score_gemma":0.9899297,"domain_scores_codex":[0.9983483,0.00003615585,0.0003766224,0.0003673797,0.0003223672,0.0005491533],"domain_scores_gemma":[0.9990684,0.0002284476,0.0001102899,0.0003197346,0.0001406174,0.0001325414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003494298,0.00001629354,0.4873312,0.0001330034,0.0003323954,0.00001132586,0.0001107529,0.0008513651,0.001804356,0.00008989759,0.470061,0.038909],"study_design_scores_gemma":[0.01125574,0.0001036511,0.08460606,0.001378492,0.0009932796,0.000004248775,0.002156707,0.02011815,0.003105171,0.0001889495,0.8755007,0.000588894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5461111,0.2572484,0.003433648,0.1774742,0.003364713,0.004709709,0.004035303,0.00009522319,0.003527652],"genre_scores_gemma":[0.9766967,0.00123404,0.000009696101,0.01891074,0.0002466713,0.001180024,0.00002656809,0.00001692812,0.001678661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4305856,"threshold_uncertainty_score":0.6381171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094598593955283,"score_gpt":0.3458956138117206,"score_spread":0.3049496278721677,"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."}}