{"id":"W2428506346","doi":"10.3747/co.23.2988","title":"Implementing Low-Dose Computed Tomography Screening for Lung Cancer in Canada: Implications of Alternative At-Risk Populations, Screening Frequency, and Duration","year":2016,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Canadian Partnership Against Cancer; Public Health Ontario; University of Toronto; Statistics Canada; McMaster University","funders":"Health Canada; Partenariat Canadien Contre Le Cancer","keywords":"Medicine; Lung cancer screening; Computed tomography; Duration (music); Lung cancer; Environmental health; Internal medicine; Medical physics; Oncology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004245593,0.0007012803,0.0007807264,0.001005525,0.002036863,0.002877529,0.003059407,0.001439945,0.00393276],"category_scores_gemma":[0.01468425,0.0004269929,0.00185435,0.001604149,0.001341096,0.00113352,0.001642132,0.001519536,0.0002007441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1209012,"about_ca_system_score_gemma":0.1515045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911725,"about_ca_topic_score_gemma":0.9895117,"domain_scores_codex":[0.9952801,0.001419601,0.0001290179,0.0003365672,0.0008508742,0.001983876],"domain_scores_gemma":[0.9938758,0.00163661,0.0005955689,0.0001515015,0.002428313,0.001312159],"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":[0.002036346,0.00078859,0.2297501,0.001344328,0.001165917,0.001158979,0.0006460751,0.6593823,0.001129863,0.02706195,0.01096116,0.06457439],"study_design_scores_gemma":[0.002176169,0.002096106,0.3146043,0.001506717,0.002936948,0.0005867821,0.004502648,0.625568,0.001628846,0.01950453,0.02450842,0.0003805519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8953605,0.006069325,0.01297717,0.0238472,0.0002050845,0.001782103,0.01350988,0.0002122326,0.04603668],"genre_scores_gemma":[0.9909079,0.001231326,0.004086852,0.0007132909,0.00001185281,0.0001469307,0.001097507,0.000013181,0.001791188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1209012,"threshold_uncertainty_score":0.877204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07582195520601699,"score_gpt":0.409936813981743,"score_spread":0.334114858775726,"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."}}