{"id":"W2015114797","doi":"10.1111/j.1552-6569.2010.00487.x","title":"What ASPECTS Value Best Predicts the 100-mL Threshold on Diffusion Weighted Imaging? Study of 150 Patients with Middle Cerebral Artery Stroke","year":2010,"lang":"en","type":"article","venue":"Journal of Neuroimaging","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Middle cerebral artery; Stroke (engine); Diffusion MRI; Value (mathematics); Cardiology; Internal medicine; Radiology; Magnetic resonance imaging; Ischemia; Statistics","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":[0.0002661376,0.0002952733,0.0004829743,0.0003604126,0.0001271686,0.0001202938,0.000398179,0.00003509977,0.00003892434],"category_scores_gemma":[0.00009144771,0.0001728547,0.0001424306,0.0002359498,0.0001316528,0.0005572976,0.0001914375,0.001160309,0.000005722308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005773277,"about_ca_system_score_gemma":0.00006148458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001441895,"about_ca_topic_score_gemma":0.000006264635,"domain_scores_codex":[0.9972005,0.00006996981,0.0006766299,0.0003144588,0.001390229,0.0003481621],"domain_scores_gemma":[0.9978859,0.0001344077,0.0007827225,0.0006548062,0.0003607612,0.0001814187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001138433,0.004102983,0.9692969,0.00006582966,0.0003170439,0.0008007177,0.002040491,0.0000371101,0.01536662,0.00001942114,0.003255422,0.003558983],"study_design_scores_gemma":[0.01680005,0.005400688,0.9613407,0.001247474,0.0011576,0.0006224891,0.005025298,0.002874017,0.003337725,0.00003649075,0.001852754,0.000304681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927685,0.0000713424,0.00003218502,0.002328014,0.001490649,0.0007404519,0.000004486358,0.0000230779,0.002541298],"genre_scores_gemma":[0.9980544,0.0000246423,0.0002274148,0.0009684496,0.0004408177,0.000004143837,0.000003141526,0.00005636375,0.0002206467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01566162,"threshold_uncertainty_score":0.7048809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399849223426472,"score_gpt":0.2414716310560583,"score_spread":0.2274731388217936,"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."}}