{"id":"W4402335438","doi":"10.1101/2024.09.05.24313143","title":"Neuroligin fragments as blood-based biomarkers for early detection of Alzheimer’s disease","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Montréal; Hôpital du Sacré-Cœur de Montréal; Montreal Clinical Research Institute; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Courtois Foundation; Réseau québécois de recherche sur le vieillissement","keywords":"Neuroligin; Disease; Alzheimer's disease; Medicine; Neuroscience; Biology; Internal medicine; Receptor","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00117936,0.0007970541,0.0004209916,0.001283939,0.0002048441,0.0008522669,0.0003697087,0.0006463456,0.001992663],"category_scores_gemma":[0.00093328,0.0002236683,0.0002614624,0.000469907,0.0003474354,0.0002883094,0.0003616623,0.0005736891,0.0005680526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237589,"about_ca_system_score_gemma":0.0002318327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100883,"about_ca_topic_score_gemma":0.0009454245,"domain_scores_codex":[0.9996766,0.0001043019,0.00002031136,0.00008721295,0.00007681688,0.00003480511],"domain_scores_gemma":[0.9996169,0.0000990008,0.0001180514,0.00002942162,0.00007899592,0.00005756104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006598778,0.000332383,0.2534308,0.0006308901,0.0006919666,0.0007414126,0.0003276197,0.0006932145,0.6730369,0.000619909,0.003142304,0.05975379],"study_design_scores_gemma":[0.0003376425,0.002297855,0.4685942,0.0002027509,0.0005758251,0.004283855,0.0003088953,0.005650602,0.5035316,0.002643801,0.01150156,0.00007145271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675074,0.018309,0.0080331,0.0007984653,0.0001580341,0.00006931006,0.002120703,0.0003300471,0.002673957],"genre_scores_gemma":[0.9821321,0.002496806,0.01198351,0.0003255066,0.00009828384,0.0000568487,0.0008875315,0.00003802802,0.001981528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001992663,"threshold_uncertainty_score":0.006666183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03644341435393147,"score_gpt":0.3317609715978589,"score_spread":0.2953175572439275,"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."}}