{"id":"W3164897029","doi":"10.3390/life11060488","title":"How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods","year":2021,"lang":"en","type":"review","venue":"Life","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Stroke (engine); The Internet; Rehabilitation; Action plan; Telemedicine; Robotics; Medicine; Limiting; Artificial intelligence; Health care; Computer science; Medical emergency; Engineering; Robot; Physical therapy; World Wide Web; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002570241,0.0006064746,0.001999595,0.0001904139,0.00004900161,0.00007146544,0.0004624675,0.000320915,0.00002205851],"category_scores_gemma":[0.00006796166,0.0003730305,0.0004489803,0.0004704444,0.0001127126,0.00003556208,0.0008583206,0.0003588537,0.000009680874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002485843,"about_ca_system_score_gemma":0.0001923972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001912111,"about_ca_topic_score_gemma":7.350864e-7,"domain_scores_codex":[0.9976328,0.00007218544,0.0007008395,0.0008212209,0.0003613761,0.0004115717],"domain_scores_gemma":[0.997944,0.000123528,0.0003771651,0.001313807,0.00004823828,0.0001932613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001668112,0.00007794167,3.555383e-7,0.003040177,0.005364624,0.00003871833,0.00005171748,1.470829e-7,0.0001629072,0.0002637923,0.04418897,0.946794],"study_design_scores_gemma":[0.0001459304,0.0002634177,8.693493e-8,0.002557944,0.009999373,0.0000232415,0.0007033368,0.00002885702,0.003900851,0.00002892539,0.9820796,0.0002684934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005267164,0.9212012,0.06977517,0.003292638,0.0002076457,0.002660223,0.0001842825,0.0001117663,0.002561847],"genre_scores_gemma":[0.000005917311,0.8969296,0.07650787,0.0001381558,0.0001296365,0.0004274066,0.0001290196,0.00006212603,0.02567029],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9465255,"threshold_uncertainty_score":0.9998721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08236819197352761,"score_gpt":0.3764285726455484,"score_spread":0.2940603806720207,"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."}}