{"id":"W3033190121","doi":"10.14745/ccdr.v46i06a02","title":"Challenges and opportunities for public health made possible by advances in natural language processing","year":2020,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Australian Government; Public Health Agency of Canada","keywords":"Triage; Computer science; Data science; Artificial intelligence; Internet privacy; Psychology; Medicine; Medical emergency","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.03321612,0.001079253,0.001431453,0.003964934,0.00366312,0.01352933,0.003372393,0.008639165,0.01217619],"category_scores_gemma":[0.03272651,0.0006784746,0.001209007,0.005356377,0.01420208,0.02186805,0.01023811,0.009846235,0.003874708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005248285,"about_ca_system_score_gemma":0.01377129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273476,"about_ca_topic_score_gemma":0.01180326,"domain_scores_codex":[0.9867344,0.007606799,0.0005496493,0.001138691,0.003110413,0.0008600627],"domain_scores_gemma":[0.940182,0.04733486,0.001575111,0.003138053,0.005549219,0.002220745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001967671,0.0002297154,0.004780688,0.003582109,0.0001451571,0.0008006485,0.005126886,0.004625372,0.00211962,0.3751609,0.1325701,0.4706621],"study_design_scores_gemma":[0.00002608568,0.00005698355,0.002096774,0.002100762,0.00003465855,0.0003576286,0.009058178,0.004013524,0.000470052,0.5626395,0.4190293,0.0001164126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.004251843,0.105074,0.02315196,0.8357623,0.002188147,0.00005330912,0.0006330801,0.0003170777,0.02856815],"genre_scores_gemma":[0.2016527,0.5083198,0.1650383,0.09074604,0.01816055,0.0005048459,0.001892299,0.0002901351,0.01339548],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03321612,"threshold_uncertainty_score":0.1756657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.315957653155589,"score_gpt":0.4189829327041298,"score_spread":0.1030252795485408,"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."}}