{"id":"W3036470112","doi":"10.3233/shti200283","title":"Intelligent Tools for Precision Public Health","year":2020,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Ontology; Transferability; Public health interventions; Psychological intervention; Computer science; Public health; Set (abstract data type); Population; Software; Data science; Knowledge management; Medicine; Machine learning; Environmental health; Nursing","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":[0.03264339,0.002542836,0.002364892,0.01488221,0.002120753,0.01515742,0.004473004,0.004744369,0.01148839],"category_scores_gemma":[0.07901023,0.001683249,0.004015635,0.01078856,0.006394038,0.01941256,0.01259912,0.005835041,0.005623051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003159949,"about_ca_system_score_gemma":0.005798253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003321081,"about_ca_topic_score_gemma":0.002100892,"domain_scores_codex":[0.9739044,0.01399144,0.003390158,0.003139596,0.005094668,0.0004796853],"domain_scores_gemma":[0.9141553,0.05576888,0.004184335,0.02028898,0.004667687,0.0009348092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001159204,0.000132801,0.001267744,0.002030807,0.0004139027,0.0004582883,0.001938015,0.01144359,0.001554743,0.7443215,0.02523694,0.2110857],"study_design_scores_gemma":[0.00004822477,0.00002508,0.0002754332,0.0006706027,0.00008327988,0.0001585483,0.0002316973,0.0164198,0.00161198,0.8169646,0.1634551,0.00005553792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001161829,0.003258922,0.961192,0.009629898,0.0004177828,0.0003279155,0.001786067,0.008941062,0.01328446],"genre_scores_gemma":[0.0293835,0.002766841,0.9582667,0.00206662,0.0004323179,0.0006483526,0.003323371,0.0007362776,0.002375973],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03264339,"threshold_uncertainty_score":0.1726368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1824455540064482,"score_gpt":0.4093353939900585,"score_spread":0.2268898399836103,"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."}}