{"id":"W4400955786","doi":"10.3233/shti240190","title":"Gender Harmony: A Case for Nursing Informatics","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Victoria","funders":"","keywords":"Harmony (color); Health care; Health informatics; Conflation; Informatics; Internet privacy; Medicine; Nursing; Computer science; Public health; Political science; Epistemology; Law","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":[0.02282173,0.0007993577,0.0009775297,0.002673967,0.03723415,0.01662707,0.003774562,0.009022931,0.007681869],"category_scores_gemma":[0.01975641,0.0006102305,0.001139813,0.002176914,0.09141703,0.01673804,0.0182145,0.01263243,0.0009079052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02065005,"about_ca_system_score_gemma":0.02458356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04670706,"about_ca_topic_score_gemma":0.05035498,"domain_scores_codex":[0.9765704,0.01466205,0.0004344619,0.001449316,0.002718062,0.004165655],"domain_scores_gemma":[0.9854237,0.008803442,0.000904166,0.0012994,0.001030407,0.002538787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002525034,0.00004959652,0.001657353,0.00006341598,0.000006757762,0.005026842,0.3734366,0.00006909581,0.0001042101,0.6013888,0.006143728,0.01202822],"study_design_scores_gemma":[0.00002764584,0.00003467771,0.001144902,0.0007416159,0.00001815325,0.007184418,0.561693,0.0003384335,0.0002622016,0.210988,0.2175203,0.00004660169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1326237,0.00551301,0.02055938,0.3584707,0.002324255,0.0003148294,0.00007108577,0.0001140882,0.4800089],"genre_scores_gemma":[0.940281,0.00235785,0.006971356,0.02393438,0.00038938,0.0003126111,0.00002498399,0.0001046515,0.02562373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04670706,"threshold_uncertainty_score":0.1498272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460774715289972,"score_gpt":0.4943870374473265,"score_spread":0.3483095659183293,"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."}}