{"id":"W4392816564","doi":"10.1101/2024.03.11.24304122","title":"Development and Validation of an Asthma Policy Model for Canada: Lifetime Exposures and Asthma outcomes Projection (LEAP)","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of British Columbia","funders":"Canadian Institutes of Health Research; Genome Canada","keywords":"Asthma; Population; Medicine; Projections of population growth; Psychological intervention; Cohort; Demography; Environmental health; Population growth; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01881098,0.001505419,0.001199589,0.003201675,0.001733459,0.003535124,0.003468781,0.001240876,0.006756852],"category_scores_gemma":[0.04146269,0.0007490934,0.001839063,0.004004572,0.0009906876,0.001240415,0.002153451,0.001936395,0.0004545977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05649751,"about_ca_system_score_gemma":0.1359663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9159594,"about_ca_topic_score_gemma":0.8682162,"domain_scores_codex":[0.9932321,0.003388576,0.0003949333,0.0005574138,0.001790694,0.0006361718],"domain_scores_gemma":[0.971859,0.01060797,0.0008608718,0.0009474676,0.01497738,0.0007472626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001443199,0.00009325105,0.008107288,0.001087143,0.0001964466,0.0001148709,0.000366386,0.9167499,0.0002696907,0.03438269,0.01024251,0.02824554],"study_design_scores_gemma":[0.000175352,0.0001222265,0.005218135,0.0009181058,0.0002122834,0.00003642175,0.0006295262,0.9554187,0.0006395688,0.01347614,0.02305518,0.00009831574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1667531,0.002851748,0.6398373,0.01158074,0.000392239,0.01011425,0.08105171,0.002290256,0.08512873],"genre_scores_gemma":[0.511257,0.001735395,0.4574329,0.0005209844,0.00002934253,0.005210786,0.02030792,0.0002304783,0.003275292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08404058,"threshold_uncertainty_score":0.40992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535647574456166,"score_gpt":0.3002713089459547,"score_spread":0.274914833201393,"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."}}