{"id":"W6965293411","doi":"10.3389/fneur.2025.1510284.s001","title":"Table 1_Cerebrolysin as an adjuvant therapy after mechanical thrombectomy in large vessel occlusion cardioembolic stroke: a propensity score matching analysis.docx","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cerebrolysin; Modified Rankin Scale; Propensity score matching; Tissue plasminogen activator; Adverse effect; Stroke (engine); Occlusion; Plasminogen activator","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001225268,0.0005507789,0.001029167,0.000475622,0.0001311389,0.0001782217,0.000516941,0.000494481,0.01966615],"category_scores_gemma":[0.0001212627,0.0005231836,0.0002078314,0.001161818,0.000004305471,0.0004531524,0.0003313138,0.0009279043,0.00005521633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344527,"about_ca_system_score_gemma":0.0001622306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001895574,"about_ca_topic_score_gemma":0.001324704,"domain_scores_codex":[0.9978358,0.00008293986,0.0004501823,0.0007020249,0.0003793965,0.0005497161],"domain_scores_gemma":[0.9987386,0.00005433296,0.0001360859,0.0008149631,0.0001285151,0.0001274579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000112996,0.0001661288,0.00009935754,0.001339141,0.0005941887,0.0001552825,0.0001305192,0.2135841,0.00002465832,0.000002394273,0.7832401,0.0005511848],"study_design_scores_gemma":[0.002070942,0.0001602476,0.005685411,0.004788447,0.0007254045,0.00002004176,0.00005428036,0.04951619,0.0003618109,0.0001067172,0.9345545,0.001955972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001906296,0.001549451,0.0003770337,0.000005660277,0.0001146638,0.0005577043,0.9952165,0.00021422,0.00005844383],"genre_scores_gemma":[0.01778926,0.0004534836,0.0002194595,0.0001498715,0.0001178731,0.000279015,0.9808996,0.00005029914,0.00004118579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1640679,"threshold_uncertainty_score":0.9997219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664987493861445,"score_gpt":0.2656004256904031,"score_spread":0.2489505507517887,"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."}}