{"id":"W4285156858","doi":"10.22161/ijaers.96.38","title":"Screening for cross-cultural adaptations of the Patient’s Dignity Inventory","year":2022,"lang":"en","type":"article","venue":"International Journal of Advanced Engineering Research and Science","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal do Rio Grande do Norte; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Dignity; Adaptation (eye); Psychology; Social psychology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04757508,0.0005068195,0.001792698,0.01215423,0.0008748844,0.002124754,0.001616525,0.000707493,0.00274688],"category_scores_gemma":[0.1282993,0.0004530831,0.002780025,0.009496211,0.00115079,0.002629685,0.002422686,0.0009784236,0.0002993151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099739,"about_ca_system_score_gemma":0.008128011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002801652,"about_ca_topic_score_gemma":0.005928008,"domain_scores_codex":[0.9714875,0.01088666,0.01078358,0.0009022708,0.005578051,0.0003619998],"domain_scores_gemma":[0.8459017,0.1125933,0.01680528,0.003498,0.02064447,0.0005573151],"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":[0.0004594113,0.0001960811,0.1075411,0.2664601,0.003525576,0.001843387,0.0204838,0.0002757885,0.001797684,0.00485106,0.006313563,0.5862525],"study_design_scores_gemma":[0.0003797915,0.001487863,0.3216678,0.434511,0.01725619,0.005011694,0.04412458,0.0009418346,0.007538792,0.004847042,0.1619154,0.0003181291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.279786,0.6282892,0.01828376,0.006735256,0.001413263,0.01894289,0.006551541,0.0001277206,0.03987034],"genre_scores_gemma":[0.5955808,0.3302612,0.04824505,0.002032516,0.0002663103,0.01722685,0.004926654,0.00005958665,0.001401006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04757508,"threshold_uncertainty_score":0.251604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260336523741087,"score_gpt":0.4284523251130709,"score_spread":0.3024186727389621,"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."}}