{"id":"W4392601077","doi":"10.12688/f1000research.109698.2","title":"Lower serum BDNF as a predictor of post-stroke cognitive impairment in acute ischemic stroke patients","year":2024,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Open peer review; Plant biology; Medicine; Stroke (engine); Ischemic stroke; Cognitive impairment; Neurology; Internal medicine; Cardiology; Neuroscience; Psychiatry; Ischemia; Psychology; Disease; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002475056,0.000481277,0.0005773657,0.0005774859,0.00007425285,0.0001219907,0.0008509075,0.0003848272,0.0008220872],"category_scores_gemma":[0.0007682358,0.0003918955,0.0003418752,0.0003817192,0.0003766057,0.00008655418,0.00405798,0.001959427,0.0007874063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572238,"about_ca_system_score_gemma":0.000348506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002114327,"about_ca_topic_score_gemma":0.00002133777,"domain_scores_codex":[0.9950421,0.0003993505,0.0005863552,0.00144811,0.001600539,0.0009235412],"domain_scores_gemma":[0.998248,0.0005158352,0.0001560074,0.0005560056,0.0002497168,0.0002744177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02281518,0.0398246,0.4940645,0.004300572,0.002047268,0.01503778,0.004299151,0.0001387667,0.3660669,0.0007178798,0.01700304,0.03368433],"study_design_scores_gemma":[0.01622584,0.02017536,0.3849348,0.002211779,0.0005952517,0.00003072638,0.0003828302,0.001907774,0.556266,0.01399936,0.001196081,0.002074192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730772,0.0001911062,0.000001046831,0.0005737075,0.0005773182,0.002649186,0.01241409,0.00009488138,0.01042151],"genre_scores_gemma":[0.9901596,0.0004056821,0.00001321113,0.0004396948,0.0000383163,0.0005125334,0.000120033,0.00007575632,0.008235192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1901991,"threshold_uncertainty_score":0.9999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835485895153979,"score_gpt":0.3254020209754906,"score_spread":0.2970471620239509,"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."}}