{"id":"W4406989183","doi":"10.12688/f1000research.159970.1","title":"Defining Urban Health for Strategic Action","year":2025,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"World Health Organization","keywords":"Open peer review; Plant biology; Action (physics); Neuroscience; Physiology; Open data; Medicine; Biology; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003845314,0.000284405,0.0006209033,0.0006814799,0.0005278697,0.000424143,0.0007327728,0.0003978664,0.0001570913],"category_scores_gemma":[0.0009598964,0.0002754224,0.0001980937,0.0004778538,0.0000838945,0.0002197101,0.001392416,0.0010223,0.0002400431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003122101,"about_ca_system_score_gemma":0.001223827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04063655,"about_ca_topic_score_gemma":0.0008331391,"domain_scores_codex":[0.9968582,0.000106892,0.0006805761,0.0006539122,0.0003543835,0.001346066],"domain_scores_gemma":[0.9981176,0.0004125822,0.0003820101,0.000542482,0.000477371,0.00006799987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003419246,0.00002937203,0.0004619521,0.003369208,0.00002479009,6.232101e-7,0.00001116234,0.0013802,6.178067e-7,0.306304,0.6846114,0.003772458],"study_design_scores_gemma":[0.0002785503,0.00002589441,0.0007114787,0.0002001321,0.00001122756,4.040049e-7,0.0002707515,0.05220608,3.596231e-7,0.05644569,0.8896612,0.0001882088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02197703,0.006015264,0.004827353,0.5771089,0.01099706,0.007952538,0.0007393534,0.001310994,0.3690715],"genre_scores_gemma":[0.4581702,0.0042705,0.008187966,0.4182949,0.04561042,0.007083763,0.01350654,0.0004954768,0.04438025],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4361932,"threshold_uncertainty_score":0.9999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2416067066115729,"score_gpt":0.468576727608455,"score_spread":0.2269700209968821,"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."}}