{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005243906,0.00005499139,0.0001864739,0.000182986,0.00004111403,0.000612914,0.0006008769,0.0000192651,0.00063326],"category_scores_gemma":[0.0013625,0.00003772666,0.00002656555,0.0005105913,0.00002724858,0.002944059,0.0003189179,0.00003140842,0.003266614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818826,"about_ca_system_score_gemma":0.00008175163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547423,"about_ca_topic_score_gemma":0.0003075731,"domain_scores_codex":[0.99774,0.0002153077,0.0006960282,0.0001359668,0.001089323,0.0001233965],"domain_scores_gemma":[0.9986603,0.0002178845,0.0002215216,0.000502304,0.0002377036,0.0001602364],"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":[0.00002540363,0.00004496233,0.001293864,0.000004021334,0.00001485656,2.869766e-7,0.01112207,0.0006888234,0.000001915849,0.01282016,0.6490506,0.3249331],"study_design_scores_gemma":[0.0002214904,0.00008390244,0.003294362,0.00001034511,0.000001647972,1.310035e-7,0.06914147,0.0002155639,0.0001771754,0.01527727,0.9115151,0.00006149869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6215384,0.0002161085,0.2345839,0.09084141,0.002152497,0.0007936627,0.0002064275,0.000164692,0.04950285],"genre_scores_gemma":[0.9621528,0.00002746779,0.007317262,0.02078989,0.00004166859,0.00000705387,0.0001581298,0.000004441201,0.009501242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3406144,"threshold_uncertainty_score":0.9975095,"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."}}