{"id":"W2981313559","doi":"10.1016/j.jalz.2019.06.1049","title":"P1‐444: BASELINE DATA IN A LONGITUDINAL VALIDATION OF COGNIGRAM<sup>TM</sup> COMPUTERIZED COGNITIVE TESTING IN MILD COGNITIVE IMPAIRMENT (MCI)","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Bruyère; University of Ottawa","funders":"","keywords":"Baseline (sea); Cognitive impairment; Cognition; Longitudinal data; Cognitive test; Psychology; Medicine; Computer science; Psychiatry; Data mining; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002248318,0.0007026025,0.0003953239,0.000875273,0.001430648,0.0007034229,0.0005941679,0.000823368,0.001601416],"category_scores_gemma":[0.004284903,0.0002706148,0.0004409826,0.0004858882,0.0003323051,0.0007364521,0.0007506862,0.0008352686,0.001992933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006446839,"about_ca_system_score_gemma":0.0005841288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150902,"about_ca_topic_score_gemma":0.009082531,"domain_scores_codex":[0.9991573,0.0001888529,0.00008657026,0.0001761621,0.000285256,0.0001057897],"domain_scores_gemma":[0.9971998,0.0002247503,0.0004017668,0.00029073,0.001335343,0.0005475964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001660111,0.001685093,0.9840845,0.00001834475,0.00006631575,0.0002450667,0.0004410076,0.0001266978,0.00151399,0.0000303976,0.000915067,0.009213476],"study_design_scores_gemma":[0.00004170172,0.002297539,0.9955301,0.000004230559,0.00002639643,0.0002288181,0.0001056809,0.0001685521,0.0005204335,0.00002702869,0.001040857,0.000008683493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951507,0.00008625132,0.0003099363,0.00003695562,0.00001346627,0.0002573948,0.002060632,0.00003130371,0.002053262],"genre_scores_gemma":[0.9899902,0.0000599458,0.0006368816,0.00007842288,0.00001723905,0.0005633227,0.006336555,0.00001853998,0.002298822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01150902,"threshold_uncertainty_score":0.02288407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07878338498579791,"score_gpt":0.349414410719098,"score_spread":0.2706310257333001,"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."}}