{"id":"W4296767458","doi":"10.1016/j.jtho.2022.07.165","title":"P1.02-04 Spatial Access to Lung Screening in British Columbia, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Medicine; Proxy (statistics); Lung cancer screening; Lung cancer; Population; Demography; Environmental health; Oncology; Statistics","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":[0.0003987679,0.000247998,0.0003599792,0.001414172,0.004171589,0.001644681,0.001314234,0.0007239694,0.02015751],"category_scores_gemma":[0.002440912,0.0004955333,0.0006237794,0.003562399,0.0007552944,0.0004938307,0.001208649,0.001158506,0.001195867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03612573,"about_ca_system_score_gemma":0.07988741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987075,"about_ca_topic_score_gemma":0.999552,"domain_scores_codex":[0.9991813,0.00005371858,0.00004895416,0.00009705569,0.0001539423,0.0004649986],"domain_scores_gemma":[0.9967392,0.000219006,0.0002483945,0.00006940452,0.001468503,0.001255391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002807826,0.0001493833,0.9166719,0.0002365182,0.00008250411,0.0007160787,0.001881327,0.0007740222,0.0004706848,0.001447043,0.05066442,0.02662544],"study_design_scores_gemma":[0.00003700586,0.00003423234,0.9819884,0.0001984624,0.00003797089,0.0001872191,0.006168491,0.0005426249,0.0001103155,0.0001445897,0.0105204,0.00003037468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8568001,0.002313584,0.0004100564,0.01087466,0.0002619503,0.0003303187,0.07093693,0.0001324313,0.05793983],"genre_scores_gemma":[0.9540918,0.001310395,0.0005351002,0.001319221,0.00003742892,0.0001051278,0.006481172,0.0000504071,0.03606923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03612573,"threshold_uncertainty_score":0.2621117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05268509187875581,"score_gpt":0.4229036582328521,"score_spread":0.3702185663540963,"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."}}