{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008283443,0.0002916583,0.0003684755,0.002020544,0.004190609,0.006299844,0.001996257,0.001493731,0.002775307],"category_scores_gemma":[0.02090432,0.0002833771,0.0004695715,0.004182657,0.002849519,0.001935498,0.002886631,0.002492866,0.0002223536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1326386,"about_ca_system_score_gemma":0.1881496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9832165,"about_ca_topic_score_gemma":0.993785,"domain_scores_codex":[0.992755,0.00181678,0.0002939868,0.000258954,0.002438237,0.002437043],"domain_scores_gemma":[0.9813168,0.005764078,0.001233436,0.0002766739,0.00755742,0.003851624],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001417405,0.00155368,0.3439938,0.001569247,0.0002573004,0.001733283,0.0523638,0.00863254,0.001091508,0.02485649,0.09723021,0.4653007],"study_design_scores_gemma":[0.0001009655,0.00018974,0.7860274,0.0007671577,0.0001697701,0.0001317421,0.06841242,0.003479354,0.001708753,0.002923503,0.1359802,0.0001090273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7496622,0.008127307,0.0003384959,0.142897,0.0003521276,0.0002764802,0.003112596,0.00006823915,0.0951656],"genre_scores_gemma":[0.9849739,0.004122095,0.0005262856,0.003287278,0.00007760066,0.00003443814,0.0006312157,0.000008078096,0.006339105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9917166,"threshold_uncertainty_score":0.9623653,"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."}}