{"id":"W4361291776","doi":"10.1212/wnl.0000000000207357","title":"To Use Perfusion Imaging or Not in Patient Selection for Late Window Endovascular Thrombectomy?","year":2023,"lang":"en","type":"letter","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"","keywords":"Medicine; Perfusion scanning; Perfusion; Selection (genetic algorithm); Radiology; Window (computing); Therapeutic window; Computer science; Artificial intelligence","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":[0.001946919,0.0004344528,0.0008162499,0.001016301,0.001585868,0.002000169,0.001247712,0.01115067,0.004351556],"category_scores_gemma":[0.01770969,0.0003100841,0.0005020674,0.0009353564,0.001511446,0.003280068,0.0006096744,0.007915443,0.003644835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002646984,"about_ca_system_score_gemma":0.002320861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00315892,"about_ca_topic_score_gemma":0.00505684,"domain_scores_codex":[0.9985896,0.0004729437,0.0002812073,0.0001768885,0.0002630684,0.0002163647],"domain_scores_gemma":[0.994965,0.002467702,0.0004230494,0.0001650991,0.001109133,0.0008699952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005321347,0.0003253474,0.05832475,0.0003504452,0.00007732389,0.08371315,0.001012407,0.0006591168,0.001325504,0.007264262,0.6735685,0.1728471],"study_design_scores_gemma":[0.0008134753,0.0008861058,0.04439907,0.003857653,0.0002482366,0.3651519,0.00657439,0.006553792,0.002117562,0.0968967,0.4721477,0.0003535003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01544885,0.004750504,0.0008538981,0.9602683,0.007340143,0.00005324753,0.0001039417,0.00005508043,0.01112612],"genre_scores_gemma":[0.2082617,0.01082461,0.003982792,0.6715236,0.09999138,0.0001664643,0.0002397252,0.00007884225,0.004930958],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01115067,"threshold_uncertainty_score":0.01920527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365149205651218,"score_gpt":0.2626310266272388,"score_spread":0.2389795345707266,"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."}}