{"id":"W2011390521","doi":"10.1159/000094856","title":"Does Clinical-CT ‘Mismatch’ Predict Early Response to Treatment with Recombinant Tissue Plasminogen Activator?","year":2006,"lang":"en","type":"article","venue":"Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Medicine; Middle cerebral artery; Transcranial Doppler; Stroke (engine); Internal medicine; Cardiology; Plasminogen activator; T-plasminogen activator; Acute stroke; Tissue plasminogen activator; Nuclear medicine; Ischemia","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":[0.0009220567,0.0002019187,0.0004275104,0.0004015842,0.0001497676,0.0003639124,0.0002085591,0.0005314625,0.001965832],"category_scores_gemma":[0.006594218,0.00009562159,0.0002018273,0.0002877009,0.0003037604,0.0003672514,0.0001796115,0.0003246624,0.0002743824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559172,"about_ca_system_score_gemma":0.0001836308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003318359,"about_ca_topic_score_gemma":0.000356166,"domain_scores_codex":[0.9994602,0.0001976145,0.0001109898,0.00008428939,0.00006985944,0.00007711429],"domain_scores_gemma":[0.9949638,0.002009748,0.002141673,0.0001433384,0.0002548829,0.0004865016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006650331,0.00004282875,0.9965357,0.00001015161,0.00003061133,0.00007473285,0.000018226,0.00006888647,0.0004993004,0.00001102633,0.00004855049,0.00199502],"study_design_scores_gemma":[0.0000365085,0.0006438777,0.9959187,0.000008205599,0.00004115889,0.001507613,0.00006770653,0.0008489585,0.0006903159,0.0000753809,0.0001562677,0.000005340759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999189,0.0001800434,0.0001841075,0.00008458229,0.000005936707,0.000009329211,0.00004645312,0.000002077444,0.0002984429],"genre_scores_gemma":[0.9997961,0.00001858304,0.00007685935,0.00002279397,0.00001289676,0.000003455115,0.00004733934,6.78953e-7,0.00002130614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001965832,"threshold_uncertainty_score":0.0065763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096073612549779,"score_gpt":0.2677884497049851,"score_spread":0.2568277135794872,"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."}}