{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01741668,0.0007627386,0.001350286,0.00180781,0.006806142,0.02029266,0.003143592,0.01228775,0.01963935],"category_scores_gemma":[0.03488376,0.000718563,0.00135426,0.001644378,0.004479136,0.01753693,0.008123368,0.0211723,0.00579481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005300269,"about_ca_system_score_gemma":0.01935025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004526386,"about_ca_topic_score_gemma":0.01113968,"domain_scores_codex":[0.9876466,0.005206218,0.001379145,0.0009591838,0.003383221,0.001425549],"domain_scores_gemma":[0.9391972,0.03322509,0.003180074,0.001674679,0.01157438,0.01114856],"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":[0.00002081909,0.00009677693,0.0005411045,0.0007655491,0.00001573967,0.0005145495,0.002254238,0.0001623473,0.0002604662,0.01020604,0.9268887,0.05827375],"study_design_scores_gemma":[0.00001497553,0.00004382665,0.0005363159,0.0008755919,0.00001920839,0.000408184,0.008504891,0.0002620229,0.000165513,0.007630012,0.9814829,0.00005652292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005670633,0.007557715,0.001013812,0.9523479,0.03467251,0.00001561843,0.00002875212,0.0001647811,0.003631783],"genre_scores_gemma":[0.03271143,0.04299963,0.008988459,0.5949429,0.2829037,0.0001445393,0.0003245981,0.0004426963,0.03654218],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02029266,"threshold_uncertainty_score":0.09210932,"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."}}