{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005263767,0.0001596821,0.0002886846,0.0009070124,0.0001366333,0.0004717463,0.0001983946,0.0003283964,0.002528262],"category_scores_gemma":[0.002251168,0.0001110803,0.0001791818,0.000697539,0.0001907228,0.000278018,0.0002440745,0.0001304747,0.0007216487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558637,"about_ca_system_score_gemma":0.0003015214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007658372,"about_ca_topic_score_gemma":0.001158609,"domain_scores_codex":[0.9997554,0.0000673723,0.000074221,0.00003177705,0.00003596631,0.00003515856],"domain_scores_gemma":[0.9983497,0.0002492122,0.0006886844,0.0000535908,0.0003927458,0.0002660275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00112342,0.00005528104,0.9784172,0.000101722,0.00003167054,0.001608733,0.0000891293,0.00008445372,0.002554957,0.00002934291,0.0004389161,0.01546515],"study_design_scores_gemma":[0.00004953396,0.0008716082,0.9919382,0.0000465013,0.00003986118,0.004679169,0.0001818661,0.0002489581,0.0006464826,0.00004238533,0.001249118,0.000006323275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947855,0.0007605344,0.0003433919,0.00007169373,0.00001751109,0.0001063735,0.0005991216,0.00001223352,0.003303567],"genre_scores_gemma":[0.9979081,0.0003848597,0.0006155078,0.00004228653,0.00004051802,0.00006349958,0.00061651,0.000004123185,0.0003245505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002528262,"threshold_uncertainty_score":0.008457839,"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."}}