{"id":"W2013157281","doi":"10.1177/1460458204042233","title":"The Impacts of Knowledge Management and Information Technology Advances on Public Health Decision-Making in 2010","year":2004,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Saskatchewan Health Authority; Health Canada","funders":"","keywords":"Information and Communications Technology; Knowledge management; Public health; Business; Public relations; Information management; Information technology; Political science; Medicine; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01044333,0.0001175142,0.0002642245,0.001313134,0.002400087,0.000066824,0.0003444823,0.0001021464,0.00001217247],"category_scores_gemma":[0.001346163,0.00007577778,0.00002320905,0.001217441,0.0001433174,0.001898596,0.0001228632,0.001213489,0.00008081061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236849,"about_ca_system_score_gemma":0.005503286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004634894,"about_ca_topic_score_gemma":0.0005125199,"domain_scores_codex":[0.9955226,0.0002496354,0.002396756,0.00006712136,0.0005663557,0.001197579],"domain_scores_gemma":[0.9966605,0.0006943607,0.001541761,0.0002379315,0.0003102954,0.0005551958],"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":[0.00006234577,0.00007456605,0.01022861,0.001721973,0.000006111608,4.533985e-7,0.03944421,0.00012404,5.668117e-8,0.03045888,0.006284028,0.9115947],"study_design_scores_gemma":[0.003317103,0.001750337,0.1687477,0.006823748,0.000001759735,0.00008043886,0.1592105,0.001397123,0.000001170108,0.03444639,0.6239988,0.0002249008],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6266647,0.01988609,0.04960776,0.264226,0.009238835,0.00737906,0.00003752866,0.0001468144,0.02281319],"genre_scores_gemma":[0.919366,0.05415415,0.01945888,0.006776229,0.0001274929,0.00007942884,0.00000466371,0.000009131512,0.0000240266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9113698,"threshold_uncertainty_score":0.9988986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08337209403580223,"score_gpt":0.4970166119524205,"score_spread":0.4136445179166183,"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."}}