{"id":"W2894396335","doi":"10.1161/strokeaha.118.021106","title":"Mechanical Thrombectomy in Patients With Milder Strokes and Large Vessel Occlusions","year":2018,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Stroke (engine); Internal medicine; Ischemic stroke; Radiology; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001132213,0.0001634735,0.0002707289,0.0001233567,0.00007459585,0.00001303502,0.00008486855,0.0000747327,0.0002617938],"category_scores_gemma":[0.00004932327,0.0001225727,0.00003220181,0.0001407891,0.0001075243,0.00007351684,0.0002099095,0.000184944,0.00003448299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005620674,"about_ca_system_score_gemma":0.00003222674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000238466,"about_ca_topic_score_gemma":0.00004036377,"domain_scores_codex":[0.9987761,0.00001994092,0.0001906484,0.0003295247,0.000323618,0.0003601623],"domain_scores_gemma":[0.9993979,0.00002885668,0.00005114308,0.0003111717,0.00008356661,0.000127342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003845076,0.0004383125,0.9798325,0.00003881205,0.0001306809,0.00001874572,0.0002668824,8.047629e-8,0.001274846,0.0005229203,0.01610067,0.0009910933],"study_design_scores_gemma":[0.008000619,0.0009506895,0.9586896,0.0001226137,0.0001222983,0.000005218672,0.0003365337,0.00009890821,0.001803363,0.00002124277,0.02966383,0.0001851413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864997,0.00003910913,0.000596515,0.0005288044,0.00009602277,0.0004612536,0.00005085817,0.00005002164,0.01167774],"genre_scores_gemma":[0.9947569,0.000008988942,0.003096355,0.0005057087,0.0001215129,0.00001568864,0.00003120232,0.0000245379,0.001439109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0211429,"threshold_uncertainty_score":0.4998369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007755898987230451,"score_gpt":0.248690935299386,"score_spread":0.2409350363121556,"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."}}