{"id":"W6960453690","doi":"10.1371/journal.pone.0129917.t002","title":"MMSE and MoCA scores of CLI and healthy controls.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cognitive impairment; Cognition; Stroke (engine); Carotid arteries","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":[0.0008712768,0.001383787,0.002117667,0.002380372,0.0005062449,0.001179823,0.002348617,0.00166899,0.03604073],"category_scores_gemma":[0.00912049,0.0004098539,0.001873858,0.004165519,0.0002083896,0.0007904917,0.001155983,0.00125557,0.01495889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009779391,"about_ca_system_score_gemma":0.001577105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03359605,"about_ca_topic_score_gemma":0.04703144,"domain_scores_codex":[0.9991747,0.0001032311,0.0001906466,0.0003389436,0.0000850736,0.0001073904],"domain_scores_gemma":[0.997951,0.0005903321,0.0004237274,0.0003431612,0.000539606,0.0001522306],"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":[0.001244935,0.00008790803,0.02826535,0.005538456,0.001058819,0.0001285452,0.00006162599,0.0004397481,0.0001545595,0.000614517,0.9538599,0.008545697],"study_design_scores_gemma":[0.004894222,0.0002448223,0.3134712,0.006120293,0.003160446,0.000841899,0.0004268108,0.001652544,0.0005894732,0.00379377,0.66458,0.0002245356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001151376,0.0003525498,0.0000508566,0.00006422908,0.00002811409,0.00002543823,0.9978753,0.00004084779,0.0004111814],"genre_scores_gemma":[0.006650653,0.0002960016,0.0002305147,0.0001309026,0.00002898282,0.00034637,0.9914702,0.00003602539,0.000810424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03604073,"threshold_uncertainty_score":0.1205682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07131793028841049,"score_gpt":0.278707091252451,"score_spread":0.2073891609640405,"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."}}