{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006301938,0.0001131213,0.0002984832,0.0001138933,0.0001638896,0.00001174264,0.0001579395,0.0001920865,8.975159e-7],"category_scores_gemma":[0.002630562,0.00009209424,0.00002628496,0.000250195,0.0003842984,0.000007675339,0.0002608374,0.0001628587,0.000001931757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002950674,"about_ca_system_score_gemma":0.0001444156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001417196,"about_ca_topic_score_gemma":0.000009921015,"domain_scores_codex":[0.9988002,0.00002897338,0.0006028402,0.0001424381,0.00006409249,0.000361487],"domain_scores_gemma":[0.9994255,0.00008063653,0.0001866191,0.0001457107,0.00006022936,0.0001013269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003842987,0.00002776505,0.001370922,0.0009453475,0.00004621276,2.908963e-7,0.003868831,0.000004587323,0.00001804698,0.003056963,0.01182964,0.978793],"study_design_scores_gemma":[0.0006600895,0.003116862,0.0002618492,0.0001121623,0.000001997632,0.00001101959,0.02672171,0.0005882647,0.0004222388,0.001401373,0.9665439,0.0001585676],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3506533,0.1235629,0.1548266,0.3664749,0.00100028,0.002626631,0.00009663922,0.0003505277,0.0004081669],"genre_scores_gemma":[0.8804023,0.04373366,0.0568184,0.01865699,0.0001069785,0.000169956,0.00006083924,0.0000141441,0.00003675788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9786344,"threshold_uncertainty_score":0.3755494,"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."}}