{"id":"W2898689291","doi":"10.30886/estima.v16.590_pt","title":"Adaptação cultural e validade de conteúdo do ISTAP Skin Tear Classification para o português no Brasil","year":2018,"lang":"pt","type":"article","venue":"Revista Estima","topic":"Health Education and Validation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02110197,0.0003916421,0.000601928,0.003396545,0.002239582,0.003388712,0.001077799,0.0006057748,0.003824469],"category_scores_gemma":[0.05716598,0.0003844932,0.001104397,0.003605888,0.002414118,0.001454796,0.002652447,0.0009188412,0.0006233396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003485762,"about_ca_system_score_gemma":0.007341915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02903604,"about_ca_topic_score_gemma":0.05035939,"domain_scores_codex":[0.9850797,0.00646238,0.001821608,0.001190821,0.004828722,0.0006166925],"domain_scores_gemma":[0.9578692,0.0151219,0.004410866,0.003961646,0.01747598,0.001160589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004384151,0.000199471,0.5505123,0.002156972,0.0002535826,0.0006905955,0.07712055,0.0006812589,0.00505134,0.007773884,0.00827779,0.3468439],"study_design_scores_gemma":[0.0000739336,0.00058707,0.8304996,0.002883792,0.0003177718,0.001503781,0.07781372,0.002937227,0.003853791,0.004155003,0.07518033,0.0001939977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157523,0.001657311,0.01867124,0.004197732,0.0007010125,0.001797698,0.00230457,0.0001705539,0.05474752],"genre_scores_gemma":[0.9659422,0.001094262,0.02566115,0.0005133074,0.00006414972,0.001623517,0.0008043029,0.00009573862,0.004201469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02903604,"threshold_uncertainty_score":0.1115992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2341274917011539,"score_gpt":0.4670566829054102,"score_spread":0.2329291912042564,"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."}}