{"id":"W4282012675","doi":"10.3233/shti220203","title":"Hidden in Plain Sight: Overlooked Results and Other Errors in Evaluating Online Laboratory Results","year":2022,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Sight; Value (mathematics); Psychology; Computer science; Medicine; Machine learning","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03701727,0.0007003362,0.0005431082,0.001866215,0.001924799,0.00239693,0.001240714,0.001600439,0.001966025],"category_scores_gemma":[0.2175069,0.0006432707,0.0006012449,0.0008341097,0.002927083,0.002881521,0.002653116,0.001481481,0.0003501097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792955,"about_ca_system_score_gemma":0.002609221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007847398,"about_ca_topic_score_gemma":0.009127315,"domain_scores_codex":[0.9369077,0.03655868,0.005116493,0.002934286,0.01657943,0.001903369],"domain_scores_gemma":[0.7544586,0.1702807,0.04596104,0.009817923,0.01764344,0.001838287],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001071185,0.0009035129,0.4882338,0.001461786,0.000255438,0.004980233,0.2492242,0.0005488137,0.01050462,0.002679063,0.005839548,0.2342979],"study_design_scores_gemma":[0.0001831156,0.003157351,0.5801762,0.006577944,0.0008584437,0.02610434,0.3001783,0.01157231,0.0291847,0.00981497,0.03162649,0.0005659491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785018,0.0009336906,0.01290096,0.002403028,0.0001325138,0.0001650692,0.00006255331,0.0001665151,0.004733869],"genre_scores_gemma":[0.9884691,0.0003474075,0.008986295,0.001128716,0.00005464541,0.00008529947,0.00003510961,0.00005092887,0.0008425363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9629827,"threshold_uncertainty_score":0.1957684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1384734761783422,"score_gpt":0.4748176169275551,"score_spread":0.3363441407492129,"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."}}