{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01031356,0.0009920899,0.000764221,0.007935726,0.001699613,0.00272595,0.001648951,0.001062715,0.04112054],"category_scores_gemma":[0.03107657,0.0005284398,0.0008607444,0.008600503,0.0003372268,0.001301326,0.003501751,0.0009481849,0.01142558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051775,"about_ca_system_score_gemma":0.01015835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04814752,"about_ca_topic_score_gemma":0.04306331,"domain_scores_codex":[0.9944594,0.001809993,0.00100037,0.0009934454,0.001293409,0.0004434827],"domain_scores_gemma":[0.9796195,0.004748157,0.002357074,0.00487286,0.00659524,0.001807166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003375737,0.0001083859,0.1504143,0.002180368,0.0006610678,0.000804422,0.001123185,0.001686165,0.001226592,0.0114175,0.7296951,0.09730729],"study_design_scores_gemma":[0.001537934,0.000182281,0.252928,0.002737072,0.0006325734,0.001226323,0.000608866,0.002785211,0.001389684,0.009123128,0.7266476,0.0002013382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03304257,0.002988432,0.02125737,0.002780071,0.0005034703,0.003173045,0.9056312,0.002724731,0.02789923],"genre_scores_gemma":[0.06788568,0.001661158,0.01778788,0.0008968388,0.0004380274,0.01178262,0.8855325,0.0008914249,0.01312383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04814752,"threshold_uncertainty_score":0.1375619,"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."}}