{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003847957,0.0001125743,0.0002424355,0.000001329053,0.0001035237,0.00002753816,0.0001370596,0.0001317694,0.01076414],"category_scores_gemma":[0.0002356177,0.00003969744,0.00003020694,0.00007314637,0.0000234279,0.0000206549,0.0002088397,0.0001116043,0.0000772741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005980965,"about_ca_system_score_gemma":0.00000428621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003694857,"about_ca_topic_score_gemma":0.001815119,"domain_scores_codex":[0.9993778,0.00001953158,0.0001546617,0.0002096954,0.0001073942,0.0001308824],"domain_scores_gemma":[0.9994171,0.000218739,0.0001234443,0.00005252834,0.0000712293,0.0001169148],"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":[0.000008848184,0.00001934424,0.000009691699,0.00005109168,0.000006964723,5.298976e-7,0.000001138272,1.463357e-8,0.00001061198,0.000001165351,0.9896485,0.01024216],"study_design_scores_gemma":[0.00008557393,0.0001810424,0.004452916,0.0001514621,0.00000951554,0.000001718382,0.00001360429,0.000001258035,0.000001426028,0.00003524983,0.9949742,0.00009205195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007029713,0.003935474,9.65993e-10,0.0007888376,0.0000102613,0.0002098041,0.9943068,0.00000895489,0.00003687322],"genre_scores_gemma":[0.001080069,0.0004577429,0.000002177317,0.0003555501,0.0001480951,0.00008432217,0.9978604,4.13416e-7,0.00001117183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01068686,"threshold_uncertainty_score":0.9901401,"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."}}