{"id":"W2295201002","doi":"10.1109/ichi.2015.109","title":"What's to Learn from Unvalidated Sources of Health Information?","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Identification (biology); Computer science; Risk analysis (engineering); Data science; Knowledge management; Management science; Engineering; Business","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":[0.07541787,0.0009255339,0.001692792,0.005974867,0.004482036,0.03021315,0.003111148,0.005511367,0.005658792],"category_scores_gemma":[0.2642021,0.0008219485,0.001764913,0.008032443,0.02023983,0.07467803,0.008840513,0.006982442,0.001629678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005360186,"about_ca_system_score_gemma":0.009553013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005644314,"about_ca_topic_score_gemma":0.008559403,"domain_scores_codex":[0.9283115,0.05176404,0.003145123,0.00246449,0.01204944,0.00226538],"domain_scores_gemma":[0.6375975,0.2799416,0.02291449,0.022149,0.03173031,0.005667065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005010724,0.0007227336,0.123818,0.009554635,0.0008689038,0.001575775,0.05286187,0.00144049,0.0009114991,0.2466754,0.03299488,0.5280747],"study_design_scores_gemma":[0.0001196557,0.0005479244,0.0384582,0.0189288,0.0008346973,0.001957837,0.1192108,0.004523734,0.004638594,0.6449288,0.1655407,0.0003101435],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1479546,0.0546523,0.04813314,0.6864936,0.002219649,0.0004779054,0.001133811,0.0002890044,0.05864605],"genre_scores_gemma":[0.8826318,0.04480792,0.04074115,0.02462189,0.002313797,0.00030637,0.0008070112,0.0001723169,0.003597744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07541787,"threshold_uncertainty_score":0.3988526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2884757354000345,"score_gpt":0.4465008566648981,"score_spread":0.1580251212648637,"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."}}