{"id":"W1996622220","doi":"10.1159/000067119","title":"Management Patterns and Health Care Use after Intracerebral Hemorrhage","year":2003,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"National Institutes of Health; Heinz Nixdorf Stiftung","keywords":"Medicine; Intracerebral hemorrhage; Stroke (engine); Neurology; Emergency medicine; Rehabilitation; Health care; Quality of life (healthcare); Physical therapy; Intensive care medicine; Subarachnoid hemorrhage; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001775881,0.000330012,0.0004744972,0.0001998845,0.000204713,0.0001424614,0.0001015495,0.00009444964,0.001015283],"category_scores_gemma":[0.00005885704,0.0002791017,0.0002991208,0.000220501,0.0001121174,0.0002400744,0.0001112712,0.0002797252,0.00009481447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023085,"about_ca_system_score_gemma":0.0001458545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125402,"about_ca_topic_score_gemma":0.00004843982,"domain_scores_codex":[0.9975393,0.0001461554,0.0003267211,0.0006594268,0.0005944494,0.0007339107],"domain_scores_gemma":[0.9983314,0.0000249785,0.00005199358,0.0007252845,0.0001197568,0.0007465839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001579618,0.0004411635,0.8421514,0.004467713,0.0003299676,0.001254625,0.0004247324,0.000002743407,0.000006683854,0.001601869,0.0006175684,0.1485436],"study_design_scores_gemma":[0.004021131,0.0003497027,0.9853345,0.0002967845,0.0005282343,0.0004651418,0.00249807,0.0004093657,0.0004136239,0.0001478437,0.004927229,0.0006083634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842761,0.01167272,0.0007996606,0.0007769928,0.0001307234,0.001199873,0.00009045783,0.0001540098,0.0008994815],"genre_scores_gemma":[0.9909905,0.0007319694,0.005199194,0.001401964,0.0001164467,0.0001569047,0.0001419888,0.00006452691,0.001196463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1479352,"threshold_uncertainty_score":0.9999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285246932556447,"score_gpt":0.2678164928054429,"score_spread":0.2549640234798785,"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."}}