{"id":"W4220720583","doi":"10.55374/jseamed.v6i0.102","title":"CUT OFF VALUE OF GOOD PRONOSTIC FACTOR OUTCOMES IN LARGE TERRITORY ISCHEMIC STROKE UNDERGOING EARLY DECOMPRESSIVE CRANIECTOMY","year":2022,"lang":"en","type":"article","venue":"Journal of Southeast Asian Medical Research","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Decompressive craniectomy; Modified Rankin Scale; Stroke (engine); Observational study; Internal medicine; Multivariate analysis; Midline shift; Infarction; Cerebral infarction; Middle cerebral artery; Cardiology; Surgery; Ischemic stroke; Traumatic brain injury; Ischemia; Myocardial infarction; Computed tomography","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":[0.0008429078,0.0003614448,0.000345644,0.001026646,0.0003557675,0.0007603482,0.0003186426,0.0004674449,0.00157712],"category_scores_gemma":[0.004148562,0.0001392805,0.0005544463,0.0006880092,0.0002646849,0.000307214,0.0004457465,0.0005300041,0.0002404431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714663,"about_ca_system_score_gemma":0.000427871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318606,"about_ca_topic_score_gemma":0.002062561,"domain_scores_codex":[0.9995397,0.0001028195,0.00007621288,0.00008370283,0.00009354875,0.0001039614],"domain_scores_gemma":[0.9962522,0.0009938611,0.001703658,0.0001503351,0.0002842175,0.0006157602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000245074,0.00001562516,0.9985356,0.000004885918,0.00002159336,0.00006646493,0.00001317599,0.00004405344,0.0001131105,0.00001255235,0.00005538543,0.0008724856],"study_design_scores_gemma":[0.000008809859,0.00009008125,0.9990057,0.00000712283,0.0000315815,0.0002853653,0.00005729021,0.0002631582,0.0001063636,0.00006021612,0.00008034013,0.000003940276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998964,0.0002157941,0.0001270032,0.00004501111,0.0000117841,0.00000615939,0.0002376487,0.000003261648,0.0003894672],"genre_scores_gemma":[0.9994765,0.00004082525,0.00009696611,0.000009320528,0.00001199188,0.000005137565,0.0003198601,0.00000103579,0.00003840089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00157712,"threshold_uncertainty_score":0.005275965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407721790884754,"score_gpt":0.3460192864007149,"score_spread":0.3219420684918674,"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."}}