{"id":"W1566874642","doi":"10.1007/s11205-012-0012-1","title":"Translating Oral Health-Related Quality of Life Measures: Are There Alternative Methodologies?","year":2012,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Computer science; Context (archaeology); Quality (philosophy); Natural language processing; Literal translation; Quality of life (healthcare); Legibility; Psychology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.01412961,0.0001451262,0.0005294365,0.0003349925,0.0006432347,0.00003078678,0.0003893469,0.0003147174,0.0003415852],"category_scores_gemma":[0.003049541,0.0001366143,0.0001616278,0.001324488,0.0004309092,0.0002114756,0.0001046517,0.0008725619,0.0001035677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375079,"about_ca_system_score_gemma":0.0004691323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004390669,"about_ca_topic_score_gemma":0.001430655,"domain_scores_codex":[0.9895541,0.00671687,0.0008923181,0.0002719747,0.001637394,0.0009273249],"domain_scores_gemma":[0.997634,0.0008294887,0.0005993952,0.0002139508,0.000309703,0.0004134878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005124566,0.0003732647,0.8201285,0.0008176585,0.0002102735,0.000006556162,0.01717816,0.000002856501,0.0002389995,0.01423201,0.003868843,0.1424304],"study_design_scores_gemma":[0.001051311,0.000109939,0.9574468,0.00007078741,0.000009385223,0.000002141883,0.03585783,0.00001107052,0.0009539273,0.003289645,0.0009905634,0.0002065626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904627,0.003582832,0.0004452165,0.0003950995,0.0005558796,0.0005426242,0.0001156686,0.00007931142,0.00382068],"genre_scores_gemma":[0.9990532,0.00005608634,0.0002010394,0.0001048919,0.0002541327,0.00002512501,0.00004193428,0.00003107916,0.0002324486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1422238,"threshold_uncertainty_score":0.6637408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5382827857752001,"score_gpt":0.5673579896716516,"score_spread":0.02907520389645157,"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."}}