{"id":"W2897439316","doi":"10.1161/strokeaha.118.022167","title":"Impact of Hyperglycemia According to the Collateral Status on Outcomes in Mechanical Thrombectomy","year":2018,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network; University of Calgary","funders":"Medtronic","keywords":"Medicine; Solitaire Cryptographic Algorithm; Modified Rankin Scale; Collateral circulation; Stroke (engine); Revascularization; Internal medicine; Diabetes mellitus; Surgery; Radiology; Ischemia; Ischemic stroke; Myocardial infarction","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":[],"consensus_categories":[],"category_scores_codex":[0.0001597343,0.0001572101,0.0003647242,0.0001447063,0.00003194433,0.00001106234,0.0001608469,0.00005616568,0.0001977404],"category_scores_gemma":[0.0001501112,0.00009176691,0.0001443758,0.000224277,0.00005054536,0.00003314186,0.0001545467,0.0001688675,0.00009952686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002699474,"about_ca_system_score_gemma":0.00007375036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004044997,"about_ca_topic_score_gemma":0.00006478317,"domain_scores_codex":[0.9987781,0.00002718296,0.0002626495,0.000230347,0.0003126711,0.0003890682],"domain_scores_gemma":[0.9992285,0.00009039025,0.00006356657,0.0004496921,0.00005429372,0.0001135188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000938785,0.000134346,0.955541,0.00001271742,0.0002728753,0.0000153597,0.000409911,0.00001189618,0.02820794,0.0001155037,0.0111096,0.00323014],"study_design_scores_gemma":[0.003018055,0.002815601,0.9719345,0.00009165406,0.00008148336,0.000008674057,0.0006515633,0.0001885849,0.01504841,0.00001373859,0.005993711,0.0001540008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820316,0.000007767974,0.00007976512,0.0009191868,0.0002161896,0.0005179734,0.0000386429,0.00002751918,0.01616137],"genre_scores_gemma":[0.9975236,0.000003978352,0.0009205501,0.0004798433,0.0001610231,0.00001879345,0.000004805159,0.00001977784,0.0008676305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0163936,"threshold_uncertainty_score":0.3742146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032802374183359,"score_gpt":0.3325817104429923,"score_spread":0.3122536867011587,"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."}}