{"id":"W7115031975","doi":"","title":"Clinical risk prediction models to pre-screen populations at risk for sexually transmitted and blood-borne infections","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; McGill University Health Centre; McGill University","keywords":"Predictive modelling; Risk assessment; Population; Epidemiology; Disease; Risk factor","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":[0.003572501,0.001558811,0.001453654,0.001872081,0.0004027274,0.001703483,0.001181967,0.001336048,0.01100036],"category_scores_gemma":[0.01739693,0.0004001082,0.001061923,0.0009044817,0.0002402921,0.0008882208,0.0009950048,0.002122475,0.002286752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006458622,"about_ca_system_score_gemma":0.001609113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006227599,"about_ca_topic_score_gemma":0.005543032,"domain_scores_codex":[0.9988707,0.0006668157,0.00007894725,0.0001512725,0.000117403,0.0001148113],"domain_scores_gemma":[0.9932319,0.004809702,0.0006230004,0.0001869049,0.0007672963,0.0003812806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002861432,0.001884012,0.4376104,0.0007749279,0.00118078,0.001103737,0.0002582371,0.186681,0.001887742,0.007391344,0.04537455,0.3129919],"study_design_scores_gemma":[0.000273069,0.001166088,0.03948526,0.0004464594,0.000746164,0.0007914282,0.0003756392,0.9239662,0.0009693647,0.01918633,0.01249214,0.000101832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3295952,0.01343764,0.5817516,0.01729214,0.001436018,0.002502748,0.02455009,0.003978146,0.02545646],"genre_scores_gemma":[0.8872133,0.003257674,0.08589633,0.002219133,0.0006944994,0.001630945,0.01211411,0.000147896,0.006826177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01100036,"threshold_uncertainty_score":0.03679991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216201725589259,"score_gpt":0.3320367304455588,"score_spread":0.2898747131896662,"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."}}