{"id":"W4386169029","doi":"10.1177/10946705231194075","title":"Commentary: Using Language to Improve Health","year":2023,"lang":"en","type":"article","venue":"Journal of Service Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Persuasion; Health communication; Service (business); Cover (algebra); Quality (philosophy); Psychology; Healthcare service; Domain (mathematical analysis); Work (physics); Public relations; Health care; Computer science; Knowledge management; Business; Marketing; Social psychology; Communication; Political 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02246067,0.00007716021,0.0002635072,0.0007018365,0.0009975024,0.0000304968,0.000418174,0.0000698182,0.0004172949],"category_scores_gemma":[0.0006401975,0.00005958134,0.0000435714,0.002009273,0.00001661869,0.000703424,0.0003121908,0.001560683,0.000908263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006893823,"about_ca_system_score_gemma":0.00166699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250838,"about_ca_topic_score_gemma":0.0002564972,"domain_scores_codex":[0.9950246,0.001541654,0.00155793,0.0001138704,0.0009264099,0.0008355298],"domain_scores_gemma":[0.9960336,0.0007671418,0.0005022304,0.0003139776,0.001589382,0.0007936786],"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":[0.001407969,0.0002768523,0.06898209,0.01137929,0.00007235508,0.00007146566,0.1977226,0.0004850801,0.00475279,0.0005386386,0.6160964,0.09821446],"study_design_scores_gemma":[0.002771495,0.000838751,0.1051974,0.003364659,0.000008110547,0.000009963405,0.1012626,0.02614917,0.0002247393,0.001381331,0.7585025,0.0002892517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8004127,0.0001262652,0.0003450751,0.1972892,0.0006203277,0.0006818078,0.00003352073,0.00002875007,0.0004624409],"genre_scores_gemma":[0.5680497,0.0003336818,0.008265202,0.4192811,0.003151221,0.00005509912,0.00004819391,0.00006102687,0.0007547783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.232363,"threshold_uncertainty_score":0.9998696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2668060949758908,"score_gpt":0.6292341156115613,"score_spread":0.3624280206356705,"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."}}