{"id":"W2802084474","doi":"10.3995/jstroke.10609","title":"Treatment related acute imaging target evaluation using CT","year":2018,"lang":"en","type":"article","venue":"Nosotchu","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Radiology; Acute stroke; Angiography; Stroke (engine); Computed tomography; Computed tomography angiography; Internal medicine","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":[0.0005212538,0.0004485881,0.0003754581,0.001764738,0.000444766,0.0008660863,0.0002862476,0.0004352867,0.00282079],"category_scores_gemma":[0.00161941,0.0001591076,0.0005021553,0.00106631,0.0003796067,0.00066412,0.0003226118,0.0004685938,0.0004972798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006910985,"about_ca_system_score_gemma":0.001018065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003660323,"about_ca_topic_score_gemma":0.004579267,"domain_scores_codex":[0.9996672,0.00009032436,0.00005167128,0.00004658461,0.00009235943,0.00005182926],"domain_scores_gemma":[0.9994339,0.0001397481,0.0001286016,0.00003614083,0.0001996809,0.00006187465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000897352,0.0005526625,0.5822206,0.0005613695,0.0004102561,0.0106459,0.0006807888,0.002650652,0.01436911,0.004117591,0.00929677,0.373597],"study_design_scores_gemma":[0.0002686687,0.001719861,0.8285464,0.0008190891,0.001302567,0.05313607,0.00149719,0.01961884,0.03293576,0.01173617,0.0482075,0.0002119554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7358292,0.02172377,0.06213018,0.003181669,0.0004112878,0.001619017,0.00133787,0.000452679,0.1733143],"genre_scores_gemma":[0.9642891,0.006574312,0.01635461,0.0007767919,0.0004097253,0.0003115186,0.0005921205,0.00005474785,0.01063725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003660323,"threshold_uncertainty_score":0.009436488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306397573984882,"score_gpt":0.3384768437147542,"score_spread":0.307837086316266,"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."}}