{"id":"W4394944186","doi":"10.4322/rae.v15n2.e202115","title":"PRÁTICAS RELACIONADAS À INDUSTRIA 4.0 E SUAS APLICAÇÕES NO CAMPO DA ERGONOMIA: ANÁLISE DAS APLICAÇÕES DE ROBÔS COLABORATIVOS (COBOTS) E EXOESQUELETOS","year":2021,"lang":"pt","type":"article","venue":"Revista Ação Ergonômica","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Computer science","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":[0.004038918,0.0005934612,0.0003113766,0.002073227,0.001207221,0.006100704,0.001005541,0.001480055,0.005825419],"category_scores_gemma":[0.01412145,0.0005864162,0.0004916654,0.002213622,0.001851619,0.004447277,0.002232113,0.001325635,0.001689559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002391726,"about_ca_system_score_gemma":0.003635607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190608,"about_ca_topic_score_gemma":0.01378569,"domain_scores_codex":[0.9960518,0.0009235322,0.0002490233,0.0005718818,0.00177525,0.0004284804],"domain_scores_gemma":[0.9862888,0.006816482,0.001993449,0.0009573692,0.003147585,0.0007963208],"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":[0.0008626174,0.0009331963,0.2194121,0.003305489,0.0001701142,0.002457913,0.178121,0.006905738,0.06416879,0.03088961,0.008780315,0.4839931],"study_design_scores_gemma":[0.00008463781,0.001691455,0.394868,0.001858755,0.000285026,0.003181955,0.2256206,0.02114895,0.02215499,0.01566868,0.3131015,0.0003355185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.904721,0.002443113,0.0211085,0.002199107,0.00007497452,0.0003172675,0.0002274745,0.0009582984,0.06795036],"genre_scores_gemma":[0.9586851,0.001776932,0.01677593,0.0002050974,0.00002028003,0.0001612631,0.0002659914,0.0001837454,0.02192565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01190608,"threshold_uncertainty_score":0.02367359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400483609758416,"score_gpt":0.2682532459156261,"score_spread":0.2442484098180419,"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."}}