{"id":"W4414714444","doi":"10.1016/j.cjca.2025.08.152","title":"P240 ACCESS TO CARDIAC SURGERY IN ONTARIO, CANADA: A GEOSPATIAL ANALYSIS","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Geospatial analysis; Cardiac surgery; MEDLINE; Patient data","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":[0.0006648771,0.0005716207,0.0006285671,0.004024989,0.003159503,0.00200289,0.001390361,0.0005815848,0.005562915],"category_scores_gemma":[0.003058065,0.0005499948,0.00210953,0.01657622,0.0007586874,0.0005665303,0.001932971,0.0007439609,0.0004572711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02984737,"about_ca_system_score_gemma":0.06125155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979233,"about_ca_topic_score_gemma":0.9987291,"domain_scores_codex":[0.9987168,0.00007354102,0.0001283841,0.0001628797,0.000468839,0.0004496058],"domain_scores_gemma":[0.9968356,0.0002029811,0.0006718313,0.0001284425,0.00158379,0.0005772584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009854398,0.00003306834,0.9871407,0.0001892206,0.0002929884,0.0002403974,0.0009288125,0.0004722699,0.0001392085,0.0005546856,0.004784504,0.005125625],"study_design_scores_gemma":[0.00000973243,0.00001565855,0.9935246,0.0001151501,0.0001404476,0.0001111677,0.002358517,0.0005726904,0.00003410612,0.00007914058,0.003021537,0.00001721715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893608,0.002690513,0.0006160995,0.001559483,0.00004854228,0.0002168608,0.09249613,0.00005084714,0.008713509],"genre_scores_gemma":[0.9824347,0.001746051,0.0008164347,0.0002399231,0.000019665,0.00007924707,0.01218654,0.00002395819,0.002453423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02984737,"threshold_uncertainty_score":0.2165588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890506211608265,"score_gpt":0.256212556458455,"score_spread":0.2373074943423724,"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."}}