{"id":"W4404977641","doi":"10.62617/mcb536","title":"Serum miRNA Detection-based Alzheimer’s disease prediction regression model","year":2024,"lang":"en","type":"article","venue":"Molecular & cellular biomechanics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomarker; Disease; Medical diagnosis; Mini–Mental State Examination; Medicine; Internal medicine; Dementia; Alzheimer's disease; Oncology; Linear regression; Psychology; Pathology; Machine learning; Biology; Computer science","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":[0.002050278,0.001621427,0.001331945,0.001349199,0.0004649021,0.001362424,0.001144308,0.0009894209,0.002005083],"category_scores_gemma":[0.002981169,0.0005400307,0.001775787,0.0007664823,0.0003304154,0.00057551,0.000728564,0.001667345,0.0007764318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025142,"about_ca_system_score_gemma":0.001366001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409845,"about_ca_topic_score_gemma":0.006633244,"domain_scores_codex":[0.9990897,0.0002546661,0.00007230699,0.0003295592,0.000139155,0.0001146383],"domain_scores_gemma":[0.9988565,0.0006445013,0.0001040538,0.00003366287,0.0003169984,0.00004430429],"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":[0.0007792113,0.0004649959,0.06760523,0.0002986673,0.0007296044,0.0005847415,0.0002875706,0.7580413,0.004790417,0.003912308,0.004386781,0.1581192],"study_design_scores_gemma":[0.00002028354,0.00006926073,0.002516316,0.00001545316,0.00008709449,0.00005520631,0.00001448429,0.9957296,0.0003452478,0.0007088911,0.0004236983,0.00001433718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.374079,0.004039351,0.6095785,0.001492139,0.000353929,0.0004422109,0.00180078,0.002572769,0.005641239],"genre_scores_gemma":[0.9457121,0.001239389,0.04414069,0.0001838726,0.0001363868,0.0005428538,0.001673308,0.00007351871,0.006297917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01409845,"threshold_uncertainty_score":0.02803278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126095630065268,"score_gpt":0.240282540569512,"score_spread":0.2290215842688593,"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."}}