{"id":"W4280569448","doi":"10.1016/j.lungcan.2022.05.008","title":"Race & sex disparities related to low-dose computed tomography lung cancer screening eligibility criteria: A lung cancer cases review","year":2022,"lang":"en","type":"article","venue":"Lung Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"National Cancer Institute","keywords":"Medicine; Lung cancer; Race (biology); Lung cancer screening; Computed tomography; Cancer; Internal medicine; Lung; Oncology; Radiology","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":[0.0008152999,0.000175529,0.0004559737,0.002811103,0.0003148523,0.0007859624,0.0003063757,0.0005693837,0.003448704],"category_scores_gemma":[0.004236762,0.000232601,0.001038835,0.004066901,0.0002148281,0.0007743805,0.0005801569,0.0005590469,0.0001943614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000783528,"about_ca_system_score_gemma":0.002941849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02948553,"about_ca_topic_score_gemma":0.06275576,"domain_scores_codex":[0.9995751,0.00006440281,0.0001152652,0.00007134285,0.0001082781,0.00006567343],"domain_scores_gemma":[0.9979214,0.001007269,0.0006374291,0.00003153321,0.0002699727,0.0001324785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002454646,0.0001983796,0.4495873,0.04228285,0.002095014,0.0005600649,0.001064204,0.0001747907,0.0003463391,0.004076844,0.05232997,0.4470389],"study_design_scores_gemma":[0.00006273995,0.0001233982,0.7256811,0.07236809,0.005065949,0.002164802,0.003797487,0.0002602414,0.0001964327,0.00101536,0.1892023,0.00006219201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03851505,0.9492297,0.000173884,0.00436773,0.0005429091,0.00006686541,0.002598425,0.000007213995,0.004498182],"genre_scores_gemma":[0.148364,0.8449,0.0005192299,0.002874589,0.0007000582,0.0000839938,0.001584222,0.000008065207,0.0009658831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02948553,"threshold_uncertainty_score":0.05862778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098414998101943,"score_gpt":0.3855254398027715,"score_spread":0.364541289821752,"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."}}