{"id":"W2509917246","doi":"10.1590/1413-81232015218.08612015","title":"McGill Entrevista Narrativa de Adoecimento - MINI: tradução e adaptação transcultural para o português","year":2016,"lang":"pt","type":"article","venue":"Ciência & Saúde Coletiva","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro","keywords":"Narrative; Equivalence (formal languages); Semantic equivalence; Portuguese; Context (archaeology); Psychology; Brazilian Portuguese; Perspective (graphical); Linguistics; Computer science; History; Artificial intelligence; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001722009,0.0009587284,0.001221944,0.0002299609,0.002552852,0.00005691073,0.001671976,0.001150339,0.007525083],"category_scores_gemma":[0.0009792075,0.0007269849,0.0006560491,0.0005462119,0.0003792347,0.0003206102,0.0003132614,0.001884965,0.002183129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001886809,"about_ca_system_score_gemma":0.0013608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008891581,"about_ca_topic_score_gemma":0.000598546,"domain_scores_codex":[0.9884263,0.004754027,0.002413852,0.001224718,0.0008727189,0.002308366],"domain_scores_gemma":[0.9926457,0.002098073,0.001095685,0.002277614,0.0007024622,0.001180514],"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":[0.004249088,0.001903697,0.03924299,0.004542063,0.001146914,0.0003716901,0.1744817,0.0000070541,0.02977016,0.03599715,0.453036,0.2552515],"study_design_scores_gemma":[0.004289195,0.0009189179,0.02311748,0.01431725,0.0003049778,0.0001011353,0.03067142,0.0002669194,0.002226197,0.0006986536,0.9212393,0.001848591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3446276,0.0183605,0.005888979,0.5221735,0.01000369,0.01206806,0.005949354,0.002092046,0.07883631],"genre_scores_gemma":[0.9087482,0.001814108,0.0003116071,0.004149763,0.0008455118,0.0006342101,0.00009443035,0.0001629766,0.08323921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5641207,"threshold_uncertainty_score":0.9995181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101206549512353,"score_gpt":0.3944357237556227,"score_spread":0.2932291742432697,"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."}}