{"id":"W3159674439","doi":"10.69645/lzwc3057","title":"Transient ischemic attack and cognition","year":2021,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Transient (computer programming); Cognition; Computer science; Neuroscience; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005621712,0.0002246045,0.0005448384,0.002020144,0.0006406036,0.001001791,0.0002575726,0.0003078197,0.006441159],"category_scores_gemma":[0.002704519,0.0001092881,0.0003528929,0.002614677,0.0003513274,0.0003791078,0.0004285521,0.0007836497,0.0009510634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006806101,"about_ca_system_score_gemma":0.001135539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02397327,"about_ca_topic_score_gemma":0.04513524,"domain_scores_codex":[0.9996486,0.0001194667,0.00003858717,0.00003472648,0.00009681812,0.00006183066],"domain_scores_gemma":[0.9988449,0.0002625654,0.0002716384,0.0000993209,0.0002727099,0.0002489706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001283965,0.0007163906,0.6561465,0.0008147994,0.0007094712,0.0009905196,0.0005774713,0.0002119729,0.0003374696,0.005510925,0.1154194,0.2172811],"study_design_scores_gemma":[0.00002073612,0.00005776849,0.9869111,0.000159661,0.00009899075,0.0003906445,0.0001426978,0.0000311251,0.00002041771,0.001227469,0.01093265,0.000006830217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4836724,0.2680875,0.0003368161,0.03318927,0.002852317,0.0001462904,0.01586685,0.00006859456,0.1957801],"genre_scores_gemma":[0.846635,0.1216715,0.0003299514,0.002224942,0.003171694,0.00009804553,0.01145721,0.00001709849,0.01439444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02397327,"threshold_uncertainty_score":0.0476675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0492187541177899,"score_gpt":0.2915363877208282,"score_spread":0.2423176336030383,"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."}}