{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008952048,0.0005850939,0.0004567805,0.0004980775,0.0009040961,0.0009524939,0.001271956,0.0006292579,0.003794495],"category_scores_gemma":[0.003145294,0.0002113682,0.0009762127,0.000735055,0.0004908969,0.0005358495,0.0006392752,0.0008040537,0.0002392056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02652595,"about_ca_system_score_gemma":0.06163022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9822212,"about_ca_topic_score_gemma":0.9806523,"domain_scores_codex":[0.9995369,0.00009906098,0.000008502262,0.00004704034,0.00009935749,0.000209246],"domain_scores_gemma":[0.9993132,0.0001520829,0.00005854211,0.00001390611,0.0002867795,0.0001755162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007819692,0.0001576018,0.1589495,0.0008541122,0.0006312651,0.000246188,0.0003991269,0.6850793,0.001258247,0.0231757,0.04266826,0.0857987],"study_design_scores_gemma":[0.0002979223,0.0005442366,0.1262113,0.0006590629,0.001119558,0.00008810127,0.002155863,0.8060632,0.002002,0.01312859,0.04754116,0.0001889875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.8450266,0.01493884,0.02573226,0.06055748,0.0003812523,0.0002880942,0.01775036,0.0006802455,0.03464489],"genre_scores_gemma":[0.9818627,0.002886102,0.006839725,0.001341114,0.00002842478,0.00004601765,0.002305164,0.00003968937,0.004650977],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02652595,"threshold_uncertainty_score":0.1924602,"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."}}