{"id":"W2127760037","doi":"10.5210/ojphi.v4i3.4270","title":"Beyond information access: Support for complex cognitive activities in public health informatics tools","year":2012,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Health informatics; Informatics; Computer science; Public health informatics; Variety (cybernetics); Data science; Engineering informatics; Public health; Health informatics tools; Health Administration Informatics; Perception; Knowledge management; Human–computer interaction; Cognition; Artificial intelligence; Medicine; Psychology; Health policy; Engineering; HRHIS","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007689303,0.001013928,0.0005768467,0.001298361,0.001492552,0.01153254,0.002584602,0.002183424,0.007337066],"category_scores_gemma":[0.04740721,0.0006544224,0.0006878243,0.001104879,0.003647775,0.01182245,0.005724284,0.001395794,0.0008656927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110065,"about_ca_system_score_gemma":0.00190112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467671,"about_ca_topic_score_gemma":0.001083382,"domain_scores_codex":[0.9926915,0.004604947,0.0004557452,0.0006787655,0.001095644,0.0004734501],"domain_scores_gemma":[0.9643545,0.02779016,0.001511107,0.003352547,0.00170443,0.001287226],"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":[0.001390688,0.001497229,0.01033451,0.002539999,0.0001169388,0.001739648,0.1217205,0.01300884,0.04119825,0.2152927,0.01044417,0.5807166],"study_design_scores_gemma":[0.0008484877,0.001530402,0.01539555,0.002116016,0.0004201897,0.002290569,0.03231245,0.122839,0.03777242,0.5823438,0.2016927,0.0004384802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2200581,0.0007460357,0.6989225,0.007132527,0.0001128986,0.0008280325,0.0001582938,0.007094842,0.06494677],"genre_scores_gemma":[0.7870027,0.0002904769,0.2078468,0.0003919687,0.0000522736,0.0005622301,0.000157882,0.0003320418,0.003363679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01153254,"threshold_uncertainty_score":0.04066539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.22760457063556,"score_gpt":0.4336423978833671,"score_spread":0.2060378272478071,"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."}}