{"id":"W6887683915","doi":"10.17605/osf.io/5kctr","title":"A Protocol for Development and Validation of a Diagnostic Model – The Hypertension Population Risk Tool (HTNPoRT) – to Predict Hypertension and Describe Risk Profiles: A Population-Based Cross-Sectional Study of Canadians","year":2024,"lang":"en","type":"preprint","venue":"OSF Preprints (OSF Preprints)","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Risk assessment; Epidemiology; Population; Risk factor; Population health; MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00389525,0.0005650391,0.001211385,0.0004489142,0.0004685702,0.0001164367,0.0002840878,0.0004467955,0.0005027974],"category_scores_gemma":[0.007515982,0.0004451929,0.0002167395,0.0002360331,0.0001211181,0.00009071237,0.001487182,0.0007791891,0.0002908323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628462,"about_ca_system_score_gemma":0.0007266563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608606,"about_ca_topic_score_gemma":0.001669507,"domain_scores_codex":[0.9945098,0.0004241417,0.001671212,0.002185427,0.000848589,0.0003608557],"domain_scores_gemma":[0.9942519,0.0016197,0.0009549936,0.001848884,0.001089051,0.0002354603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00143291,0.001056194,0.9411155,0.002476412,0.001096698,0.00001582878,0.002680818,0.04176944,0.0004105544,0.00002693904,0.001720117,0.006198565],"study_design_scores_gemma":[0.003169728,0.00005045739,0.9409223,0.001223836,0.002264104,0.0000428395,0.0002530384,0.04800583,0.001465061,0.001514216,0.000642379,0.0004462471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929166,0.00001067888,0.0007986434,0.0001457329,0.000148561,0.1053734,0.0002681769,0.00008225952,0.0002558638],"genre_scores_gemma":[0.8993652,0.00001647756,0.004730767,0.000120159,0.00007869317,0.09438755,0.0001660908,0.00007678897,0.001058288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01441655,"threshold_uncertainty_score":0.9998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05460376386932965,"score_gpt":0.3138307182777128,"score_spread":0.2592269544083831,"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."}}