{"id":"W4415128809","doi":"10.1101/2025.10.10.25337504","title":"Cohort Profile: Swiss Personalized Health Network Cohort Consortium","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health and Medical Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Schweizerische Multiple Sklerose Gesellschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Chinese Society of Clinical Oncology; Multiple Sclerosis Society; Biogen; GlaxoSmithKline; AstraZeneca; Bristol-Myers Squibb; National Science Foundation","keywords":"Cohort; Harmonization; Cohort study; Data sharing; Biobank; MEDLINE; Metadata","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007401158,0.0007235098,0.002434992,0.0001571888,0.002261329,0.00001677316,0.0007175228,0.001247888,0.00237051],"category_scores_gemma":[0.002304084,0.000608519,0.0003241942,0.000478814,0.0003865177,0.00003323756,0.001680939,0.005499557,0.0006782196],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009498849,"about_ca_system_score_gemma":0.01072668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003049375,"about_ca_topic_score_gemma":0.000778437,"domain_scores_codex":[0.9896049,0.002833445,0.002373041,0.001419148,0.001088667,0.002680739],"domain_scores_gemma":[0.9941424,0.001534838,0.001161693,0.001172231,0.0005277316,0.001461121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007585937,0.00005668545,0.6399583,0.004220003,0.000267424,0.00001339087,0.0009087926,0.000005715434,2.764963e-7,0.001243813,0.3514985,0.001751229],"study_design_scores_gemma":[0.0008244315,0.00005384569,0.4542609,0.002930557,0.0001271974,0.0000010362,0.0003397577,0.0001162728,6.82693e-7,0.0008047126,0.5401594,0.0003811485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2760877,0.06984363,0.005291358,0.2217951,0.06838119,0.0504224,0.002130023,0.003283505,0.3027651],"genre_scores_gemma":[0.2621501,0.06733192,0.008244517,0.2654666,0.02212106,0.03610588,0.003355874,0.0004429043,0.3347812],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1886609,"threshold_uncertainty_score":0.9996366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07250963281887728,"score_gpt":0.4455138013933739,"score_spread":0.3730041685744966,"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."}}