{"id":"W4313435287","doi":"10.3389/fnins.2022.1034472","title":"Developing and predicting of early mortality after endovascular thrombectomy in patients with acute ischemic stroke","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Ischemic stroke; Acute stroke; Cardiology; Endovascular treatment; Internal medicine; Surgery; Ischemia; Tissue plasminogen activator; Aneurysm","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":[0.0002493573,0.0001251286,0.0002675766,0.0002318206,0.00004915715,0.000009974523,0.0001803111,0.00002089666,0.000004825567],"category_scores_gemma":[0.00005211391,0.0001164235,0.00002790265,0.0005637602,0.0001787074,0.0001597381,0.0003651361,0.0002627476,7.580942e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536578,"about_ca_system_score_gemma":0.00007962873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004892929,"about_ca_topic_score_gemma":0.000002959011,"domain_scores_codex":[0.9983869,0.00004167697,0.0002564206,0.0004381457,0.0005963069,0.0002805211],"domain_scores_gemma":[0.9995537,0.00001091864,0.0001008176,0.0002620133,0.00002350168,0.00004899101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001456071,0.00006525865,0.9974473,0.00003640581,0.00001964197,0.00008564228,0.0003258571,0.00002305032,0.001336592,0.000002362528,0.0002002141,0.0003120637],"study_design_scores_gemma":[0.001767552,0.000215383,0.9953997,0.00004782166,0.00004548512,0.000006867836,0.0001749948,0.0005594118,0.001145727,0.000002753378,0.0005318649,0.0001024328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963939,0.00007600451,0.002308151,0.00005306945,0.0002653372,0.0005164595,0.00002135792,0.00001613798,0.0003495538],"genre_scores_gemma":[0.9926461,0.00001569251,0.006926101,0.0002477401,0.000006133028,0.0000749808,0.000003455521,0.00001254749,0.00006727675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004617949,"threshold_uncertainty_score":0.4747613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00986082449793297,"score_gpt":0.2313702987848097,"score_spread":0.2215094742868767,"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."}}