{"id":"W4403565671","doi":"10.2196/57528","title":"From English to “Englishes”: A Process Perspective on Enhancing the Linguistic Responsiveness of Culturally Tailored Cancer Prevention Interventions","year":2024,"lang":"en","type":"article","venue":"Journal of Participatory Medicine","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Clinical and Translational Science Institute, University of Florida; National Institutes of Health","keywords":"Preprint; Psychological intervention; Linguistics; Perspective (graphical); Process (computing); Psychology; Sociology; Computer science; Philosophy; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00292915,0.0001297611,0.0004045982,0.0002072574,0.0003068843,0.00001021414,0.0003676282,0.00009028973,0.0004603359],"category_scores_gemma":[0.01411761,0.00007631141,0.0001640505,0.000368914,0.0001084772,0.00008399098,0.00005418924,0.001052417,0.00001228736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004753399,"about_ca_system_score_gemma":0.0008549171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006034928,"about_ca_topic_score_gemma":0.0006460046,"domain_scores_codex":[0.9962045,0.001593421,0.001366503,0.0001648709,0.0004342539,0.0002364608],"domain_scores_gemma":[0.9930525,0.002442082,0.000546718,0.0003124535,0.003493346,0.0001529081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001284612,0.0001369792,0.002130995,0.001346968,0.0003341587,0.00002063106,0.9800434,0.0005200849,0.001965515,0.004605218,0.006668581,0.000942845],"study_design_scores_gemma":[0.001411996,0.003170013,0.01219979,0.1369659,0.0008719246,0.000005911289,0.8234816,0.0008111339,0.00243358,0.009081107,0.009289305,0.0002777374],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766216,0.005369305,0.0007228138,0.01041272,0.005190615,0.000520485,0.00001728759,0.00004044004,0.00110469],"genre_scores_gemma":[0.995877,0.00008998978,0.00005318223,0.0005323734,0.002838738,0.0001786484,0.000002461232,0.00001984791,0.0004077926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1565618,"threshold_uncertainty_score":0.9941869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1751544422354909,"score_gpt":0.5625287943127757,"score_spread":0.3873743520772848,"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."}}