{"id":"W4327660727","doi":"10.2196/42552","title":"Home Health Care Clinicians’ Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study","year":2023,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Medicine; Documentation; Affect (linguistics); Family medicine; Psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004315202,0.0002232177,0.0003179471,0.001609108,0.0007571179,0.001029775,0.0004530872,0.0004764412,0.0009975876],"category_scores_gemma":[0.02989004,0.0002301242,0.0005151505,0.001002277,0.0007729016,0.0009079349,0.0009893432,0.0006271937,0.00023984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008085769,"about_ca_system_score_gemma":0.001202815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006301525,"about_ca_topic_score_gemma":0.009604779,"domain_scores_codex":[0.9967592,0.001605625,0.0004685742,0.0005682387,0.0003878157,0.0002105415],"domain_scores_gemma":[0.9719778,0.01461516,0.009552145,0.001266184,0.001873655,0.0007150757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003281648,0.0004334991,0.9781719,0.00007974048,0.00006380005,0.000264435,0.01019574,0.00007236135,0.0007685769,0.00007053648,0.0004072704,0.009143756],"study_design_scores_gemma":[0.00004148724,0.0002221305,0.9843664,0.0000560008,0.00005983879,0.0006236156,0.01039037,0.002624741,0.0007107346,0.0001694822,0.0007024494,0.00003280215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993698,0.00003110134,0.0001977629,0.0000499807,0.000002203835,0.00003516407,0.000153434,0.000003555587,0.0001570332],"genre_scores_gemma":[0.9985629,0.00004942395,0.0007555744,0.00009065592,0.000009587229,0.00007432629,0.000367248,0.000005243173,0.00008507527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006301525,"threshold_uncertainty_score":0.02282125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682922128576604,"score_gpt":0.4178243242119259,"score_spread":0.3809951029261598,"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."}}