{"id":"W2526739384","doi":"10.1097/phh.0000000000000479","title":"Urgent Challenges for Local Public Health Informatics","year":2016,"lang":"en","type":"article","venue":"Journal of Public Health Management and Practice","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gibson Energy (Canada)","funders":"","keywords":"Health informatics; Public health; Informatics; Data science; Public health informatics; Environmental health; Computer science; Political science; Medicine; Health policy; Nursing; International health","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.03671126,0.0002442774,0.0006767274,0.000601973,0.001446798,0.00004729638,0.0003582102,0.0001669558,0.0001619236],"category_scores_gemma":[0.003934511,0.0001665437,0.0001039505,0.0003565706,0.000101288,0.001599618,0.000162806,0.000602209,0.00006509307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009660383,"about_ca_system_score_gemma":0.005112442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004299171,"about_ca_topic_score_gemma":0.00006998053,"domain_scores_codex":[0.9916455,0.002222127,0.003429399,0.0002546385,0.0006846407,0.001763658],"domain_scores_gemma":[0.9857305,0.004665459,0.004931916,0.0004473977,0.001044193,0.00318053],"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":[0.00008854632,0.0002088765,0.0002115147,0.003081196,0.00008026823,0.000001312537,0.002339741,3.934036e-7,1.21641e-7,0.1243611,0.09140054,0.7782264],"study_design_scores_gemma":[0.002770083,0.0008169195,0.002546539,0.0003090488,0.00002100683,0.00004573658,0.02033071,0.00004826788,4.801947e-8,0.001134054,0.9718425,0.000135064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0001204268,0.008938992,0.3223802,0.6578559,0.0009151791,0.003233958,0.00002390504,0.00004864846,0.006482803],"genre_scores_gemma":[0.07024086,0.6281127,0.08143153,0.2102626,0.002223758,0.00391614,0.00003455078,0.0001171152,0.003660756],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.880442,"threshold_uncertainty_score":0.9998532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2914384740612425,"score_gpt":0.4906323859758169,"score_spread":0.1991939119145745,"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."}}