{"id":"W4389439288","doi":"10.1212/wnl.82.10_supplement.i10-2.003","title":"Indonesia Stroke Registry (I10-2.003)","year":2014,"lang":"en","type":"article","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Medicine; Emergency medicine; Cardiology; Physical medicine and rehabilitation; Environmental science; Physics","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":[0.00107791,0.0009726913,0.001622412,0.003970955,0.0004878301,0.002007606,0.001199204,0.0006498469,0.1690142],"category_scores_gemma":[0.002639956,0.0009911129,0.0006161592,0.007932015,0.0001810599,0.001320931,0.001149096,0.0009687486,0.1879211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000681842,"about_ca_system_score_gemma":0.002394214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007167653,"about_ca_topic_score_gemma":0.006419937,"domain_scores_codex":[0.9987811,0.0001262017,0.0003814258,0.0003156532,0.0002412586,0.0001542399],"domain_scores_gemma":[0.9971846,0.0002088342,0.0006467134,0.0005546884,0.0009855683,0.0004196266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001272163,0.0002559426,0.02409704,0.001093531,0.00008863438,0.0003063513,0.00005888079,0.0001862322,0.0004746115,0.0008456254,0.9167753,0.05454561],"study_design_scores_gemma":[0.001753812,0.0003392622,0.2107326,0.001217509,0.0001931101,0.001804812,0.0001824386,0.002265065,0.001371541,0.001832216,0.7781518,0.0001558478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006141947,0.0005250769,0.0006062271,0.0003182375,0.0002598709,0.0007796845,0.9503251,0.001784682,0.0392592],"genre_scores_gemma":[0.01470258,0.0007099931,0.001427235,0.0004494687,0.0002236055,0.00157666,0.9403371,0.0004632647,0.04011019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1690142,"threshold_uncertainty_score":0.5654087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00990764001694852,"score_gpt":0.2388967146850455,"score_spread":0.228989074668097,"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."}}