{"id":"W2125177013","doi":"10.17269/cjph.103.2897","title":"Effect of community population size on breast cancer screening, stage distribution, treatment use and outcomes.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Medicine; Breast cancer; Mammography; Breast cancer screening; Population; Cancer; Rural area; Cancer registry; Mastectomy; Demography; Family medicine; Gerontology; Internal medicine; Environmental health; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003474307,0.0004021224,0.0006401852,0.0006352814,0.0003271112,0.0008156652,0.0009139212,0.001065355,0.008258247],"category_scores_gemma":[0.02311313,0.0003149147,0.002161166,0.000989403,0.000431676,0.0009039057,0.001143096,0.001153487,0.0003216527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005110871,"about_ca_system_score_gemma":0.001438253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324518,"about_ca_topic_score_gemma":0.02203079,"domain_scores_codex":[0.9964074,0.002203332,0.0001492748,0.0004321368,0.0003123857,0.0004953417],"domain_scores_gemma":[0.9856064,0.009065195,0.002059154,0.0007326939,0.0004950059,0.002041593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01542125,0.0007594179,0.9580002,0.0002191306,0.004879383,0.000347486,0.0001408484,0.0007688473,0.0002814634,0.0002066395,0.002358802,0.01661649],"study_design_scores_gemma":[0.0003631548,0.002074057,0.99325,0.00004050619,0.0016695,0.0002041378,0.000240576,0.001258722,0.00008651629,0.0002130858,0.0005833635,0.00001634268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902331,0.004030488,0.0002165515,0.00101833,0.0001310224,0.00004975962,0.002123119,0.00003883018,0.002158758],"genre_scores_gemma":[0.9980938,0.0004218541,0.00009527346,0.0001205937,0.00005063768,0.00003539486,0.0005552177,0.00000961537,0.0006176517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02324518,"threshold_uncertainty_score":0.04621977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08767889373848588,"score_gpt":0.3462166821986702,"score_spread":0.2585377884601844,"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."}}