{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001054125,0.00009807585,0.0001056296,0.0001084587,0.0001243918,0.0001434694,0.0001674983,0.00003403848,0.000001073045],"category_scores_gemma":[0.00001292739,0.0001001597,0.0000416647,0.0002860482,0.00002053656,0.001443385,0.00007173119,0.00004675097,0.00003968647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003556041,"about_ca_system_score_gemma":0.00005345646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000132245,"about_ca_topic_score_gemma":7.348921e-9,"domain_scores_codex":[0.9988913,0.00001928441,0.0004967119,0.0001801601,0.0003307303,0.00008183579],"domain_scores_gemma":[0.9987636,0.000006842075,0.0004810714,0.0002266029,0.0004008084,0.00012105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008617168,0.00007118543,0.08684973,0.000579485,0.0001353722,1.557848e-7,0.04602672,0.415901,0.00136095,0.4421376,0.0001399211,0.006711626],"study_design_scores_gemma":[0.0002476386,0.000005330759,0.1779327,0.00001163974,0.000017862,4.928596e-7,0.0001027304,0.8213971,0.0001033455,0.00009378757,0.000009645876,0.00007777885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1457344,0.00000153768,0.8534449,0.0002298635,0.00006048307,0.0002576776,0.0001074152,0.00007285931,0.00009087556],"genre_scores_gemma":[0.992372,5.549147e-8,0.007389994,0.0001128479,0.00003002671,0.00002706415,0.00006209673,0.000004600088,0.000001340892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8466376,"threshold_uncertainty_score":0.4084395,"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."}}