{"id":"W4210344569","doi":"10.1002/alz.12565","title":"Triploid genetic algorithm for convolutional neural network–based diagnosis of mild cognitive impairment","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Convolutional neural network; Cognitive impairment; Computer science; Cognition; Algorithm; Genetic algorithm; Artificial intelligence; Machine learning; Psychology; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001136435,0.0004613608,0.0004427605,0.001069946,0.0004342723,0.0006413791,0.0009483353,0.0009311408,0.001501899],"category_scores_gemma":[0.00375753,0.0002089154,0.0004022133,0.0005205701,0.0006244349,0.0006278128,0.0005878351,0.0007907915,0.0002664959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321277,"about_ca_system_score_gemma":0.001414234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001211,"about_ca_topic_score_gemma":0.009988204,"domain_scores_codex":[0.9996101,0.000151458,0.00002498131,0.00009402277,0.00007779618,0.00004158499],"domain_scores_gemma":[0.9991418,0.0005263214,0.00009019677,0.00004963162,0.0001590308,0.00003303721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001549258,0.00009062963,0.00341751,0.00003747179,0.00007909442,0.0001182841,0.00007554227,0.7692915,0.002753911,0.01464323,0.001642407,0.2076954],"study_design_scores_gemma":[0.000006466253,0.00002003476,0.0001957378,0.000004933459,0.000005396758,0.00002415058,0.000005234609,0.9953274,0.000491913,0.003647647,0.0002675916,0.000003542417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0918666,0.0002898801,0.903141,0.0005917181,0.00006327865,0.0001170637,0.0001110677,0.0006334389,0.003185965],"genre_scores_gemma":[0.6653876,0.000180235,0.3297151,0.0003797652,0.00003717317,0.0002320422,0.0003151702,0.00007284805,0.003680095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01001211,"threshold_uncertainty_score":0.01990771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005202007932821,"score_gpt":0.2794947989431458,"score_spread":0.2294427788638176,"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."}}