{"id":"W3087638397","doi":"10.3389/fnins.2020.00767","title":"Identification and Classification of Alzheimer’s Disease Patients Using Novel Fractional Motion Model","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Identification (biology); Disease; Alzheimer's disease; Artificial intelligence; Medicine; Neuroscience; Computer science; Psychology; Internal medicine; Biology","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":[0.0007622721,0.0005371832,0.0007083343,0.001770393,0.0002509173,0.00063875,0.0002979346,0.0007162153,0.0004171805],"category_scores_gemma":[0.001764699,0.0001267977,0.0006772972,0.0004254721,0.0001837336,0.0005074123,0.0003054412,0.0002820911,0.0001912868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002312115,"about_ca_system_score_gemma":0.0003401653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002351416,"about_ca_topic_score_gemma":0.001638517,"domain_scores_codex":[0.9997818,0.0000513995,0.00003020526,0.00006723728,0.00003670026,0.00003275837],"domain_scores_gemma":[0.9996114,0.0001478155,0.00008287084,0.00003132604,0.00009135531,0.00003528651],"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":[0.001909738,0.0005221944,0.6084476,0.0001998991,0.0004794248,0.001968222,0.0007951958,0.05195536,0.04024035,0.001548878,0.002800256,0.2891328],"study_design_scores_gemma":[0.00008243998,0.0004226518,0.1746686,0.0000444646,0.0002103044,0.001792652,0.0003162313,0.8138705,0.004188747,0.002973829,0.001361056,0.00006848523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141384,0.0009057662,0.08353788,0.0002045663,0.0000434869,0.00007162861,0.0002603601,0.0002154753,0.0006223608],"genre_scores_gemma":[0.9758168,0.0002682489,0.02311666,0.00002679964,0.00003576441,0.00003942385,0.0003846785,0.00001039645,0.0003012603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002351416,"threshold_uncertainty_score":0.004675448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1489907095355701,"score_gpt":0.3591406228863468,"score_spread":0.2101499133507767,"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."}}