{"id":"W4392209372","doi":"10.1097/nnr.0000000000000711","title":"Health Misinformation and Nursing Science","year":2023,"lang":"en","type":"article","venue":"Nursing Research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Misinformation; Nursing; Psychology; Nursing science; Medicine; Computer science","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":[0.08056149,0.001032717,0.002243202,0.01148853,0.01038544,0.02197416,0.002805119,0.01489542,0.01161161],"category_scores_gemma":[0.2041485,0.0007144561,0.001216289,0.006402778,0.06172467,0.02668916,0.01383896,0.01801412,0.001994552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01912633,"about_ca_system_score_gemma":0.02618651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004774194,"about_ca_topic_score_gemma":0.00428087,"domain_scores_codex":[0.907497,0.06911221,0.004114902,0.004357541,0.01287356,0.002044833],"domain_scores_gemma":[0.5921474,0.3550073,0.01236136,0.01216308,0.01878662,0.009534193],"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":[0.0001372426,0.0002586342,0.004213045,0.005762323,0.000144925,0.000485304,0.03312573,0.0003702381,0.000101305,0.609639,0.1801852,0.1655769],"study_design_scores_gemma":[0.00006354199,0.0001130421,0.001670174,0.0128669,0.00003290974,0.000386686,0.01560065,0.0002777661,0.0001553945,0.6553997,0.3133455,0.00008771956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003097726,0.1788523,0.001611867,0.7660421,0.01732272,0.00005650022,0.00006265443,0.00003652845,0.03291761],"genre_scores_gemma":[0.2417775,0.3074714,0.006089642,0.3828926,0.05215794,0.00057171,0.0001968324,0.0001094479,0.008732859],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08056149,"threshold_uncertainty_score":0.426055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2151073720494977,"score_gpt":0.574373266503044,"score_spread":0.3592658944535463,"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."}}