{"id":"W4399568090","doi":"10.1007/s11136-024-03690-4","title":"Translation and linguistic validation of 24 PROMIS item banks into French","year":2024,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McGill University; Centre de réadaptation Lethbridge-Layton-Mackay; Centre for Interdisciplinary Research in Rehabilitation; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Strategy for Patient-Oriented Research; Centre for Interdisciplinary Research in Rehabilitation","keywords":"Quality of Life Research; Linguistics; Translation (biology); Public health; Psychology; Natural language processing; Computer science; Medicine; Nursing; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05385852,0.00006972431,0.0003226778,0.0009431623,0.00009358293,0.0001506897,0.0003672614,0.00009196052,0.0001674772],"category_scores_gemma":[0.3703175,0.00005193739,0.0000709056,0.00282423,0.0002651419,0.0001220684,0.00009247178,0.0002738748,0.00001028907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981249,"about_ca_system_score_gemma":0.0001939238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009459268,"about_ca_topic_score_gemma":0.00002133121,"domain_scores_codex":[0.993517,0.002577553,0.001033826,0.0004069745,0.002265495,0.000199091],"domain_scores_gemma":[0.8199935,0.1776748,0.0002476093,0.0005855415,0.00133783,0.0001606954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006728899,0.00007593131,0.1298927,0.0009530181,0.00003890985,0.000001803007,0.008945137,0.0000190918,0.009120941,0.005284264,0.001564188,0.8440367],"study_design_scores_gemma":[0.0006692763,0.0005866277,0.4757347,0.0004353725,0.00001613592,0.00000250744,0.002794144,0.02230484,0.01087816,0.4756626,0.01064104,0.000274628],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771568,0.004373952,0.0121577,0.001129233,0.0002823879,0.0002279321,0.00001344959,0.00002627086,0.004632263],"genre_scores_gemma":[0.9843616,0.0000698538,0.01518361,0.000005460149,0.0001010904,0.000005980229,0.000002930675,0.000005501268,0.0002639839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.843762,"threshold_uncertainty_score":0.9742517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8967886007634996,"score_gpt":0.6453574115789563,"score_spread":0.2514311891845433,"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."}}