{"id":"W4386322355","doi":"10.3390/curroncol30090586","title":"Addressing Inequity in Spatial Access to Lung Cancer Screening","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":"Simon Fraser University; University of British Columbia; Provincial Health Services Authority","funders":"","keywords":"Interquartile range; Medicine; Geospatial analysis; Vulnerability (computing); Population; Demography; Rural area; Poverty; Environmental health; Geography; Socioeconomics; Cartography; Economic growth; Surgery; Pathology; Computer science","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":[0.001733337,0.0001516466,0.0001646131,0.000982394,0.001168652,0.001320601,0.0005008937,0.0002669588,0.003011407],"category_scores_gemma":[0.006175319,0.00008210177,0.0001900993,0.000826788,0.001077232,0.0009178039,0.003533834,0.0005138532,0.00009802431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00310807,"about_ca_system_score_gemma":0.005272834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08860925,"about_ca_topic_score_gemma":0.1901287,"domain_scores_codex":[0.9987054,0.0005321566,0.00003582705,0.00008168867,0.0002332684,0.0004116912],"domain_scores_gemma":[0.9981093,0.0006341754,0.0004675401,0.0001046005,0.0003382509,0.0003461556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006386805,0.0001424245,0.8041238,0.00030152,0.0001216025,0.0001994085,0.005237223,0.002240343,0.0004798188,0.01970072,0.004107913,0.1632813],"study_design_scores_gemma":[0.00002020596,0.0002373849,0.8869022,0.0008788405,0.000157057,0.0006944045,0.03618153,0.006259858,0.0007769222,0.03730966,0.03055244,0.00002952487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503436,0.002278665,0.003717453,0.01439888,0.00004328541,0.00005239483,0.0003350464,0.00003072939,0.02879995],"genre_scores_gemma":[0.9991357,0.0002403852,0.0002544141,0.0001126359,0.000009931917,0.000007253239,0.00002691397,0.000001550984,0.0002113109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08860925,"threshold_uncertainty_score":0.176187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6084588883137619,"score_gpt":0.5953911970909598,"score_spread":0.01306769122280216,"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."}}