{"id":"W4414714342","doi":"10.1016/j.cjca.2025.08.129","title":"P212 IMPACT OF A CLOUD-BASED CARE COORDINATION PLATFORM ON TREATMENT DELAYS FOR STEMI PATIENTS IDENTIFIED IN THE FIELD AND TRANSFERRED DIRECTLY TO CATH LAB WITHIN A HUB-AND-SPOKE SYSTEM","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cath lab; Field (mathematics); Interventional cardiology; Patient care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003404437,0.0003532011,0.0002948593,0.0005130092,0.001709886,0.002682209,0.001284963,0.001042834,0.02361825],"category_scores_gemma":[0.04536751,0.0002672648,0.001476754,0.0008124398,0.0004785761,0.001836701,0.002585527,0.002055341,0.0008796682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005226246,"about_ca_system_score_gemma":0.01663595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06984232,"about_ca_topic_score_gemma":0.05398989,"domain_scores_codex":[0.9962049,0.00127002,0.000300539,0.0003463821,0.0006650155,0.001213096],"domain_scores_gemma":[0.964438,0.0181303,0.0058977,0.000644552,0.004457447,0.006431983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0136448,0.008182778,0.597339,0.001984673,0.001464969,0.001320144,0.003914744,0.01315301,0.001734576,0.005349739,0.0602104,0.2917013],"study_design_scores_gemma":[0.001987673,0.01365412,0.9169323,0.001639396,0.001446086,0.0004806282,0.01334796,0.02658472,0.002156675,0.003333191,0.01821247,0.0002247766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670227,0.0005118964,0.0008745335,0.01531493,0.0007967572,0.0004451473,0.00281396,0.0001818638,0.0120383],"genre_scores_gemma":[0.9969851,0.0001371806,0.0006775525,0.0008921553,0.0001007578,0.0001063242,0.0003357846,0.00002049174,0.0007446012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06984232,"threshold_uncertainty_score":0.1388716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222274267088006,"score_gpt":0.3340756582925936,"score_spread":0.3118529156217136,"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."}}