{"id":"W2909479250","doi":"","title":"HUBUNGAN KADAR TROMBOSIT DENGAN ALBERTA STROKE PROGRAM EARLY CT SCORE (ASPECTS) PADA STROKE ISKEMIK AKUT: CORRELATION BETWEEN PLATELET COUNT AND ALBERTA STROKE PROGRAM EARLY CT SCORE (ASPECTS) IN ACUTE ISCHEMIC STROKE","year":2018,"lang":"en","type":"article","venue":"","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Cardiology; Internal medicine; Ischemic stroke; Ischemia","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00108005,0.001282639,0.001923109,0.001034611,0.0005999312,0.0005538286,0.0005864782,0.0006569427,0.0002859713],"category_scores_gemma":[0.0004862318,0.001195779,0.000401872,0.001106141,0.0006762863,0.001498344,0.0002670148,0.002334794,0.0002228198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008706427,"about_ca_system_score_gemma":0.001081973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02763199,"about_ca_topic_score_gemma":0.01968293,"domain_scores_codex":[0.9913283,0.0003135453,0.001975212,0.00202796,0.00172743,0.002627546],"domain_scores_gemma":[0.9947112,0.0007002559,0.0007241272,0.001366962,0.0006094394,0.001887974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001423123,0.001881372,0.9249185,0.0006173449,0.0009698403,0.0004026832,0.001142457,0.00000118683,0.01020399,0.0007059272,0.003563263,0.05417032],"study_design_scores_gemma":[0.02155021,0.01602143,0.868639,0.001350757,0.001308057,0.0009035348,0.0008116697,0.00192871,0.03170998,0.0001083316,0.05353454,0.002133778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707611,0.0003408908,0.00009626371,0.001931039,0.0004857463,0.00722522,0.0005818388,0.0006208472,0.01795708],"genre_scores_gemma":[0.9830867,0.0002441582,0.002498789,0.0004241487,0.001369038,0.0006732783,0.001466237,0.0002353948,0.01000226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05627948,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783156700510178,"score_gpt":0.2869833458362734,"score_spread":0.2691517788311716,"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."}}