{"id":"W2316624895","doi":"10.1136/neurintsurg-2013-010870.21","title":"O-021 Evaluation of Baseline CT ASPECTS in Perfusion-guided Selected Patients for Intra-arterial Reperfusion Therapy","year":2013,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Thrombolysis; Intraclass correlation; Stroke (engine); Perfusion scanning; Radiology; Perfusion; Univariate analysis; Nuclear medicine; Internal medicine; Myocardial infarction; Multivariate analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.001837519,0.0001158003,0.0003562669,0.0003898412,0.00002335415,0.0000277464,0.0000879779,0.00002762192,0.0008809053],"category_scores_gemma":[0.001592235,0.00009629299,0.0004175015,0.0002971884,0.00001876202,0.0002119947,0.00001055457,0.0001482879,0.000003788429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006411513,"about_ca_system_score_gemma":0.00007712941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001884569,"about_ca_topic_score_gemma":0.000002245547,"domain_scores_codex":[0.9977131,0.0002527184,0.001097694,0.0001092207,0.0006758475,0.0001514304],"domain_scores_gemma":[0.9979483,0.0004183828,0.000328159,0.00009257772,0.001132046,0.00008048314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002782041,0.002572056,0.1133004,0.000334195,0.0003533619,0.00003337782,0.000152997,0.01501794,0.4123648,0.00002253114,0.1208,0.3347701],"study_design_scores_gemma":[0.006231636,0.0003189465,0.5069183,0.001364413,0.0001795229,0.0001180062,0.00003408681,0.4534697,0.02864139,0.00130178,0.00103789,0.000384363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975019,0.0002078639,0.001042662,0.0002259835,0.0008065999,0.0001641444,0.000007105545,0.00001181115,0.00003198916],"genre_scores_gemma":[0.9993925,0.0001016255,0.0001700976,0.00003860467,0.0002184589,0.000009174156,0.0000389585,0.00001796396,0.00001260695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4384517,"threshold_uncertainty_score":0.9645295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812232022346344,"score_gpt":0.283044649182055,"score_spread":0.2449223289585916,"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."}}