{"id":"W4391224240","doi":"10.3233/shti231127","title":"Interpreting Laboratory Results with Complementary Health Information: A Human Factors Perspective","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Test (biology); Health information; Context (archaeology); Perspective (graphical); Internet privacy; Telemedicine; Quality (philosophy); Information quality; Psychology; Computer science; Information system; Health care; Engineering; Political science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.02398336,0.0007776342,0.000446275,0.002869916,0.01087957,0.01503463,0.001600976,0.002365384,0.003641856],"category_scores_gemma":[0.02179864,0.0004855817,0.0004444658,0.002799506,0.03135366,0.004624601,0.00509829,0.002350888,0.0004484943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01191625,"about_ca_system_score_gemma":0.0181532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.105978,"about_ca_topic_score_gemma":0.0621289,"domain_scores_codex":[0.9631312,0.0307657,0.0004299771,0.0009824489,0.002581018,0.00210963],"domain_scores_gemma":[0.9512805,0.04131699,0.001651522,0.0008341016,0.003645231,0.001271827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001714213,0.00004589283,0.006839336,0.0002288235,0.00001374395,0.0005440128,0.9643476,0.0001611332,0.0008206323,0.01389953,0.001515825,0.01156637],"study_design_scores_gemma":[0.000006218726,0.0000577996,0.00299159,0.0003470623,0.00001458028,0.0002723863,0.9537855,0.0003029063,0.0005835994,0.006099582,0.0355147,0.00002415335],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6438809,0.005432284,0.06338181,0.07789472,0.0006293515,0.0008363975,0.0003414888,0.0002378778,0.2073651],"genre_scores_gemma":[0.9839033,0.001549458,0.007370609,0.003306275,0.00006219808,0.0001294972,0.00003050266,0.00003218668,0.003615953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105978,"threshold_uncertainty_score":0.2107222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076064807231153,"score_gpt":0.5080739685845983,"score_spread":0.4004674878614831,"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."}}