{"id":"W4220700393","doi":"10.4103/aian.aian_909_21","title":"The Impact of Time to Reperfusion on Recanalization Rates and Outcome After Mechanical Thrombectomy","year":2022,"lang":"en","type":"article","venue":"Annals of Indian Academy of Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Penumbra; Modified Rankin Scale; Stroke (engine); Intracerebral hemorrhage; Randomized controlled trial; Thrombolysis; Quartile; Occlusion; Surgery; Internal medicine; Ischemic stroke; Cardiology; Ischemia; Glasgow Coma Scale; Myocardial infarction; Confidence interval","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":[0.0005009791,0.0001058714,0.0003358544,0.0001859824,0.00004446394,0.000001740586,0.0001511697,0.00008180075,0.000452199],"category_scores_gemma":[0.0002343207,0.00007481802,0.0001046565,0.0002094561,0.00009227829,0.0000218082,0.0002023197,0.0002777856,0.000006939126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001000703,"about_ca_system_score_gemma":0.00002204345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003170236,"about_ca_topic_score_gemma":4.981356e-7,"domain_scores_codex":[0.9987914,0.0001566054,0.0004159069,0.0002105686,0.0002400445,0.0001855017],"domain_scores_gemma":[0.9992593,0.0002217806,0.0002433672,0.0001637689,0.00003508426,0.00007673552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02309715,0.0008843488,0.3211382,0.0003477976,0.001118403,0.0001277904,0.001874689,0.001289069,0.3580669,0.0006525916,0.2770358,0.01436721],"study_design_scores_gemma":[0.0017147,0.01387963,0.8247445,0.00005061481,0.0001245601,0.0001546197,0.00006065362,0.0006686575,0.1414889,0.0004465623,0.01643845,0.0002282562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675881,0.0000977886,0.000002517146,0.03148768,0.00002001062,0.0003399909,0.00002245503,0.000007139923,0.0004343186],"genre_scores_gemma":[0.9931436,0.00008407126,0.00001732859,0.006436822,0.00002416576,0.00002034049,0.0000047582,0.00001372194,0.0002551807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5036062,"threshold_uncertainty_score":0.4951262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03893402841121496,"score_gpt":0.3602193372591292,"score_spread":0.3212853088479142,"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."}}