{"id":"W4360993422","doi":"10.1161/blog.20190916.193019","title":"Article Commentary: &amp;quot;Mechanical Thrombectomy in Ischemic Stroke Patients With Alberta Stroke Program Early Computed Tomography Score 0–5&amp;quot;","year":2019,"lang":"en","type":"dataset","venue":"","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computed tomography; Ischemic stroke; Stroke (engine); Medicine; Cardiology; Internal medicine; Physical therapy; Surgery; Ischemia; Engineering; Mechanical engineering","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":[0.004262973,0.001274797,0.00243323,0.002878459,0.001038257,0.003444691,0.003202964,0.006307591,0.08894123],"category_scores_gemma":[0.05347658,0.0006993266,0.00197501,0.005040447,0.0007352252,0.001550138,0.00211728,0.004313483,0.03529909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003571325,"about_ca_system_score_gemma":0.01152859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06330975,"about_ca_topic_score_gemma":0.1202723,"domain_scores_codex":[0.9966965,0.0008533574,0.0005833986,0.0003720929,0.001161006,0.0003336899],"domain_scores_gemma":[0.9677809,0.01682641,0.002732522,0.001023658,0.008866478,0.002769942],"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":[0.00002843309,0.000001718829,0.0001675085,0.0001281916,0.00001557617,0.000005165375,0.000003301772,0.00002552684,0.000002833076,0.0001168961,0.998494,0.00101078],"study_design_scores_gemma":[0.00113266,0.00002266621,0.003509069,0.002402834,0.0002275285,0.00005932754,0.00004889784,0.0003763954,0.00005992478,0.002459989,0.9896506,0.00005024477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.0004393568,0.002416129,0.0002470884,0.1939366,0.02726103,0.0001111743,0.7618858,0.0003326818,0.01337006],"genre_scores_gemma":[0.009082012,0.008925196,0.002122947,0.2684883,0.05659135,0.001080289,0.6048489,0.0007726006,0.04808849],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08894123,"threshold_uncertainty_score":0.297538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676796260979753,"score_gpt":0.2653303259382928,"score_spread":0.2485623633284953,"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."}}