{"id":"W1806990925","doi":"10.1155/2015/274569","title":"Improving Public Health Policy through Infection Transmission Modelling: Guidelines for Creating a Community of Practice","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Infectious Diseases and Medical Microbiology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Centre for Infectious Diseases; York University","funders":"Canadian Institutes of Health Research","keywords":"Terminology; Public health; Context (archaeology); Public relations; Population health; Best practice; Scope (computer science); Glossary; Political science; Management science; Engineering ethics; Medicine; Computer science; Engineering; Nursing; Geography","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3010886,0.004163655,0.004777663,0.01464574,0.01184238,0.02481842,0.02049683,0.02536941,0.01385671],"category_scores_gemma":[0.3656747,0.003654396,0.006559078,0.01428414,0.02395179,0.01930175,0.0277534,0.02355961,0.008470449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04293198,"about_ca_system_score_gemma":0.2294082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1585526,"about_ca_topic_score_gemma":0.1771639,"domain_scores_codex":[0.7227254,0.2096712,0.02227238,0.005257031,0.03425281,0.005821225],"domain_scores_gemma":[0.6157759,0.1646092,0.01943256,0.03755917,0.1268519,0.03577127],"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":[0.0001168077,0.001225017,0.003681241,0.01038068,0.0002643465,0.001139383,0.03394651,0.01114027,0.0005952654,0.2204405,0.3379805,0.3790895],"study_design_scores_gemma":[0.0002901772,0.0001959701,0.002513827,0.04560589,0.0002050915,0.0007213972,0.02009116,0.009296115,0.0006305276,0.3205503,0.5995025,0.0003970596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.001814122,0.0163538,0.4453591,0.4700725,0.00350147,0.0131187,0.000884387,0.002420937,0.04647497],"genre_scores_gemma":[0.01774516,0.01017069,0.947957,0.01138235,0.0004128081,0.008393555,0.0004989185,0.000481626,0.002957822],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3010886,"threshold_uncertainty_score":0.8618822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3246244537373751,"score_gpt":0.4631584277404932,"score_spread":0.138533974003118,"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."}}