{"id":"W2279541857","doi":"10.1161/str.44.suppl_1.a8","title":"Abstract 8: Early MRI in TIA And Minor Stroke: Do it or Lose it","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Université de Sherbrooke","funders":"","keywords":"Medicine; Stroke (engine); Lesion; Magnetic resonance imaging; Hyperintensity; Minor stroke; Abnormality; Acute stroke; Neuroimaging; Radiology; Internal medicine; Cardiology; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005896819,0.0003683299,0.0009599454,0.0007026607,0.0002777949,0.001125814,0.000562572,0.0007248268,0.004420487],"category_scores_gemma":[0.01691272,0.0001915399,0.0007789425,0.0009340873,0.0006364741,0.001174779,0.0005928552,0.0006194554,0.001254143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779941,"about_ca_system_score_gemma":0.0005729118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005702578,"about_ca_topic_score_gemma":0.001601291,"domain_scores_codex":[0.9983223,0.0008563702,0.0002192532,0.0001281556,0.0003173085,0.0001566556],"domain_scores_gemma":[0.9894347,0.004214608,0.003426522,0.0006686518,0.001157191,0.001098284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01246554,0.0006247597,0.8064739,0.001327272,0.000887604,0.0004796601,0.0003198132,0.0003039516,0.001024321,0.0002367376,0.007387877,0.1684684],"study_design_scores_gemma":[0.0007887098,0.008734533,0.9729437,0.001141453,0.001355151,0.002596859,0.0006063933,0.001026342,0.001387367,0.001294348,0.008071122,0.00005400795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711723,0.01532985,0.001223742,0.00576403,0.0005901374,0.0001732332,0.0008271417,0.00005426212,0.00486519],"genre_scores_gemma":[0.9920053,0.003144547,0.001001001,0.00105142,0.001029766,0.00006679496,0.000613143,0.00003292537,0.001055028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005896819,"threshold_uncertainty_score":0.03118575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050361926158271,"score_gpt":0.3180452271397529,"score_spread":0.2975416078781701,"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."}}