{"id":"W4413360956","doi":"10.5334/ijic.nacic24199","title":"Uncovering COPD Care Accessibility and Gaps in Middlesex-London: An Environmental Scan","year":2025,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"COPD; Medicine; Gerontology; Internal medicine","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":[0.002207402,0.0002087724,0.0005417665,0.003629492,0.001271452,0.002530619,0.0007685105,0.0007115907,0.003773733],"category_scores_gemma":[0.006861721,0.0003957447,0.0005086086,0.006332267,0.001274666,0.002346838,0.004514725,0.0005987104,0.0002694386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003909832,"about_ca_system_score_gemma":0.006893557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2435001,"about_ca_topic_score_gemma":0.5170516,"domain_scores_codex":[0.9982814,0.0005231193,0.0002790052,0.0001859628,0.0003827372,0.0003478832],"domain_scores_gemma":[0.9943785,0.002396768,0.001432103,0.0003224977,0.001138858,0.0003313605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003980331,0.00007171694,0.846447,0.005367485,0.0003594438,0.005583649,0.06986287,0.0002634778,0.001005944,0.004308682,0.00889805,0.05743375],"study_design_scores_gemma":[0.00001295498,0.00008767507,0.8817585,0.003159331,0.0002018577,0.001813284,0.09124346,0.0001755986,0.0002698955,0.0009663339,0.02026323,0.00004794439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688288,0.009767411,0.000535889,0.003972414,0.00003379615,0.0001039564,0.006709594,0.00002479639,0.0100233],"genre_scores_gemma":[0.9911945,0.004276611,0.001023009,0.0007736036,0.00001167956,0.0001784781,0.00121786,0.00002326452,0.001300947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2435001,"threshold_uncertainty_score":0.4841654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018743818446626,"score_gpt":0.3129426384128901,"score_spread":0.3027552002284238,"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."}}