{"id":"W4399208681","doi":"10.1016/j.idm.2024.05.009","title":"Gonorrhea cluster detection in Manitoba, Canada: Spatial, temporal, and spatio-temporal analysis","year":2024,"lang":"en","type":"article","venue":"Infectious Disease Modelling","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gonorrhea; Geography; Cluster (spacecraft); Demography; Spatial analysis; Spatial epidemiology; Spatial ecology; Public health; Transmission (telecommunications); Epidemiology; Physical geography; Environmental health; Medicine; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001066532,0.0004939982,0.0004609709,0.002457371,0.001563556,0.001544276,0.001362061,0.0003656547,0.001008148],"category_scores_gemma":[0.003518095,0.0004018052,0.0007774605,0.005480452,0.0008320466,0.0003165404,0.001226878,0.0005878533,0.0001528894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02257379,"about_ca_system_score_gemma":0.0376607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995587,"about_ca_topic_score_gemma":0.9959279,"domain_scores_codex":[0.999121,0.0001363255,0.00004397421,0.0001582174,0.0002229498,0.0003175469],"domain_scores_gemma":[0.9982342,0.0002644816,0.0002822228,0.00008677465,0.0009139642,0.0002183402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001031732,0.00005082293,0.9698401,0.0001494,0.0001956905,0.0002556436,0.001149956,0.009271284,0.000722694,0.0008423171,0.00289536,0.01452349],"study_design_scores_gemma":[0.00001508285,0.00003320572,0.9524526,0.0001124588,0.0001026623,0.0001299761,0.004581983,0.03779029,0.0002948485,0.0003137521,0.004134502,0.00003866343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819594,0.001652517,0.003320074,0.0007722484,0.00002596618,0.0002043415,0.009776097,0.0001005551,0.002188715],"genre_scores_gemma":[0.9887248,0.0009049071,0.004144813,0.0001048697,0.000007854925,0.00006642497,0.004704356,0.00001798971,0.001323934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02257379,"threshold_uncertainty_score":0.1637851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995737951681837,"score_gpt":0.2494269596048271,"score_spread":0.2294695800880087,"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."}}