{"id":"W4283812223","doi":"10.1016/j.outlook.2022.05.011","title":"Authors’ response to Dr. Padgett","year":2022,"lang":"en","type":"letter","venue":"Nursing Outlook","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Medicine; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00235115,0.0002852024,0.0004701513,0.0003034809,0.001811252,0.0002433372,0.0007567878,0.0007615975,0.003662502],"category_scores_gemma":[0.001119688,0.0003161765,0.0002162452,0.0004221698,0.0002477032,0.0000985168,0.00007092722,0.002055593,0.0004418451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876876,"about_ca_system_score_gemma":0.001390561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004229126,"about_ca_topic_score_gemma":0.000307777,"domain_scores_codex":[0.9945961,0.001821394,0.0004033358,0.0005645003,0.001247643,0.00136701],"domain_scores_gemma":[0.997888,0.0009979381,0.0001439693,0.0005135396,0.00007638132,0.0003802027],"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":[0.0001104624,0.0000181151,0.0001255163,0.000044775,0.000009627882,0.0001471073,0.0206913,0.000001391978,0.00000141559,0.0005634882,0.9756651,0.002621728],"study_design_scores_gemma":[0.0001085381,0.00007237666,0.0009554226,0.0002541891,0.00002943805,0.000002392766,0.002846618,0.000001073833,0.000001508201,0.0007014933,0.9946479,0.0003791118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006495223,0.0003245647,0.00002384028,0.9471884,0.008797022,0.0005613272,0.0000815228,0.0002552662,0.04211849],"genre_scores_gemma":[0.0002745616,0.00002626837,0.0001733576,0.7354816,0.005483092,0.00007354825,0.00004480948,0.0000618597,0.2583809],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2162624,"threshold_uncertainty_score":0.999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05834668090125199,"score_gpt":0.3943340920655428,"score_spread":0.3359874111642908,"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."}}