{"id":"W4388830039","doi":"10.3390/curroncol30110725","title":"Exploring the Future of Cancer Impact in Alberta: Projections and Trends 2020–2040","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta; Alberta Health; University of Calgary","funders":"","keywords":"Medicine; Cancer; Cancer registry; Epidemiology; Projections of population growth; Population; Cancer incidence; Demography; Environmental health; Population growth; Pathology","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":[0.001539066,0.0006654984,0.0002686004,0.001875565,0.0004648981,0.001491808,0.000946663,0.0005134144,0.003749547],"category_scores_gemma":[0.002661619,0.0002889803,0.0008693968,0.003125722,0.0003688972,0.0007113388,0.0007945392,0.0007790705,0.0004248538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02205045,"about_ca_system_score_gemma":0.022531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9413812,"about_ca_topic_score_gemma":0.9495031,"domain_scores_codex":[0.999561,0.00006455908,0.0000147786,0.00003739234,0.0002030308,0.0001191467],"domain_scores_gemma":[0.998958,0.0001330699,0.0001162117,0.00002824335,0.0006077565,0.0001566368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003572965,0.00007636618,0.2543948,0.0004343144,0.0003675078,0.0005636442,0.0004631276,0.5957806,0.001218147,0.02116646,0.04671213,0.07846568],"study_design_scores_gemma":[0.000116599,0.0001580172,0.3032328,0.0005811356,0.0005412602,0.0004721106,0.002952523,0.5329621,0.00175589,0.01549169,0.1415156,0.000220269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.757062,0.01453093,0.0324414,0.02569824,0.0004012916,0.0001887318,0.1015276,0.001603319,0.06654638],"genre_scores_gemma":[0.9377204,0.007696542,0.01267846,0.000797053,0.00006486292,0.00005401755,0.03138183,0.000106536,0.0095004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05861884,"threshold_uncertainty_score":0.1599879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3521697767279532,"score_gpt":0.5036637869323728,"score_spread":0.1514940102044196,"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."}}