{"id":"W6965315544","doi":"10.3389/fneur.2021.771367.s001","title":"Data_Sheet_1_Association of Ischemic Core Imaging Biomarkers With Post-Thrombectomy Clinical Outcomes in the MR CLEAN Registry.pdf","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modified Rankin Scale; Stroke (engine); Logistic regression; Ischemic stroke; Randomized controlled trial; Clinical trial; Occlusion","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003986218,0.0006640697,0.00143191,0.00405082,0.0004500624,0.001667154,0.001673824,0.001202523,0.2170067],"category_scores_gemma":[0.02648443,0.0007039235,0.0009477283,0.007007577,0.000314743,0.001786156,0.0008976972,0.0008686272,0.04081564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113091,"about_ca_system_score_gemma":0.001809206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005826751,"about_ca_topic_score_gemma":0.004490656,"domain_scores_codex":[0.9967611,0.0007329793,0.001050747,0.0005037491,0.0007160701,0.0002354147],"domain_scores_gemma":[0.9694098,0.01408904,0.007691631,0.002606947,0.005218816,0.0009838608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001756842,0.000221098,0.05202145,0.002650243,0.0002496166,0.0001183449,0.0001128233,0.0007305809,0.0002064092,0.001482396,0.9148635,0.02558682],"study_design_scores_gemma":[0.01103579,0.0009479697,0.4001729,0.003541857,0.0005520659,0.0008999813,0.0004564902,0.002871473,0.001746834,0.004370211,0.5731325,0.0002720275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001671259,0.0000603851,0.000383595,0.0002436434,0.00003104353,0.0004008453,0.9932199,0.0002031446,0.003786139],"genre_scores_gemma":[0.02176152,0.0002870323,0.002296634,0.0006429215,0.0001641846,0.006223403,0.9603584,0.0002841014,0.007981793],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2170067,"threshold_uncertainty_score":0.7259598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145265233181121,"score_gpt":0.297359182189771,"score_spread":0.2659065298579598,"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."}}