{"id":"W6976735567","doi":"10.60692/mexry-90t71","title":"Identification and Classification of Alzheimer's Disease Patients Using Novel Fractional Motion Model","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hurst exponent; Receiver operating characteristic; Correlation; Pattern recognition (psychology); Diffusion MRI; Fractional Brownian motion; Detrended fluctuation analysis; Exponent","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":[0.0007313658,0.0005409868,0.000719232,0.00172616,0.0002515254,0.0006431598,0.0002919265,0.0007070094,0.0004128038],"category_scores_gemma":[0.001768052,0.0001254669,0.0006594544,0.0004181245,0.0001837853,0.0004941977,0.0003068071,0.0002831832,0.0001871162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023121,"about_ca_system_score_gemma":0.0003384145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002374441,"about_ca_topic_score_gemma":0.001660844,"domain_scores_codex":[0.999787,0.00004936613,0.00002987282,0.0000660321,0.00003564588,0.00003198431],"domain_scores_gemma":[0.9996185,0.0001448923,0.0000824088,0.00003051363,0.00008868501,0.0000349502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001837005,0.0005029105,0.6080725,0.000198914,0.0004677678,0.001968499,0.0007742649,0.05256016,0.03948666,0.001554329,0.002759929,0.2898171],"study_design_scores_gemma":[0.0000829308,0.000427446,0.1763616,0.00004634288,0.0002159723,0.001843257,0.0003232009,0.8120078,0.004177295,0.003082036,0.001362515,0.00006958862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132254,0.0009401196,0.08440208,0.0002053029,0.00004184049,0.00007288459,0.0002655621,0.0002264316,0.0006204136],"genre_scores_gemma":[0.9753699,0.0002751221,0.02356199,0.00002734851,0.00003506857,0.00003998743,0.0003754603,0.00001052646,0.0003045341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002374441,"threshold_uncertainty_score":0.004721284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08032642050408743,"score_gpt":0.2496802313477612,"score_spread":0.1693538108436738,"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."}}