{"id":"W2611191715","doi":"10.1161/strokeaha.117.016669","title":"Efficacy of Stent-Retriever Thrombectomy in Magnetic Resonance Imaging Versus Computed Tomographic Perfusion–Selected Patients in SWIFT PRIME Trial (Solitaire FR With the Intention for Thrombectomy as Primary Endovascular Treatment for Acute Ischemic Stroke)","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; University of Calgary; University Health Network","funders":"","keywords":"Medicine; Magnetic resonance imaging; Modified Rankin Scale; Solitaire Cryptographic Algorithm; Thrombolysis; Stroke (engine); Radiology; Perfusion scanning; Middle cerebral artery; Randomization; Randomized controlled trial; Nuclear medicine; Perfusion; Surgery; Internal medicine; Ischemia; Myocardial infarction; Ischemic stroke","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":[0.001360425,0.0008595528,0.001873138,0.0001814565,0.0002021306,0.0007607123,0.0003635745,0.0008204592,0.001871443],"category_scores_gemma":[0.001479571,0.0003017247,0.001086551,0.0001347399,0.0004693718,0.0005432307,0.0002223956,0.001170474,0.0003194648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261142,"about_ca_system_score_gemma":0.0004282499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002986772,"about_ca_topic_score_gemma":0.0005875396,"domain_scores_codex":[0.9995663,0.0002568495,0.00002250022,0.00006499946,0.00002614134,0.00006326299],"domain_scores_gemma":[0.999568,0.0001117334,0.0001293249,0.00003126421,0.00002365065,0.0001360454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9500456,0.003786955,0.006180693,0.0005001742,0.001376422,0.0002326949,0.00008828944,0.0005861908,0.005088895,0.0002803559,0.001991751,0.02984205],"study_design_scores_gemma":[0.8196551,0.1325299,0.03898665,0.0001522197,0.00178675,0.0006035178,0.00005724679,0.002295562,0.001414369,0.000595685,0.001876429,0.00004665828],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959604,0.001976638,0.0001636845,0.000479646,0.0001619492,0.0002252098,0.0001599527,0.00002075938,0.0008517908],"genre_scores_gemma":[0.9957637,0.0008957018,0.000534278,0.0005619798,0.0005433437,0.0004935589,0.0005052127,0.000008365197,0.0006938896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001873138,"threshold_uncertainty_score":0.007194757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262180431821572,"score_gpt":0.2732421055791727,"score_spread":0.260620301260957,"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."}}