{"id":"W7162008270","doi":"10.82308/11374","title":"Explainable machine learning and social determinants of health in stroke prediction","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretability; Social determinants of health; Gradient boosting; Predictive modelling; Health care; Boosting (machine learning)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009910161,0.000880462,0.0005231774,0.001891431,0.0005239345,0.001403329,0.001081377,0.0008838932,0.001729309],"category_scores_gemma":[0.03913489,0.000272918,0.001113882,0.00122126,0.001270809,0.001525057,0.001456861,0.001930996,0.0001551484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317742,"about_ca_system_score_gemma":0.001458453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007745379,"about_ca_topic_score_gemma":0.009352868,"domain_scores_codex":[0.9962263,0.002899225,0.000139623,0.0003532887,0.000262791,0.0001187221],"domain_scores_gemma":[0.9539475,0.04058947,0.002389697,0.001791882,0.0010568,0.0002246717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002545288,0.0002452249,0.1267256,0.0005586217,0.0008039853,0.0003368308,0.001653751,0.6448743,0.0006078198,0.08564492,0.002858486,0.135436],"study_design_scores_gemma":[0.00002303083,0.0000599963,0.009821373,0.0001121272,0.00007581242,0.00004764029,0.000175697,0.8617744,0.0003708678,0.1260484,0.001463544,0.00002717427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2486443,0.001596614,0.7386292,0.005497742,0.0001281208,0.0002001962,0.001375397,0.000506378,0.003422084],"genre_scores_gemma":[0.9426313,0.0002750088,0.05584269,0.0001884422,0.00007710844,0.0001176496,0.0004482731,0.00002132244,0.000398196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009910161,"threshold_uncertainty_score":0.0524106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142440047038069,"score_gpt":0.3124007655570153,"score_spread":0.2981567608532084,"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."}}