{"id":"W4394944202","doi":"10.4322/rae.v15n2.e202115.en","title":"PRACTICES RELATED TO INDUSTRY 4.0 AND ITS APPLICATIONS IN THE FIELD OF ERGONOMICS: ANALYSIS OF APPLICATIONS OF COLLABORATIVE ROBOTS (COBOTS) AND EXOSKELETONS","year":2021,"lang":"en","type":"article","venue":"Revista Ação Ergonômica","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Robot; Exoskeleton; Field (mathematics); Human–computer interaction; Engineering; Human factors and ergonomics; Manufacturing engineering; Computer science; Simulation; Artificial intelligence; Poison control; Medicine","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":[0.002814969,0.0004937508,0.0002884161,0.003555698,0.001077628,0.002733871,0.0007957895,0.001183662,0.003085946],"category_scores_gemma":[0.0124058,0.0003277395,0.0005658425,0.004752558,0.002380379,0.001812837,0.001925758,0.0005132774,0.0008058213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002356896,"about_ca_system_score_gemma":0.002965406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006830628,"about_ca_topic_score_gemma":0.008037532,"domain_scores_codex":[0.9955326,0.001418835,0.0003183019,0.0005364825,0.001744243,0.0004495303],"domain_scores_gemma":[0.9847531,0.00632352,0.003511449,0.001025358,0.003711178,0.0006754576],"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":[0.0004803791,0.0007505617,0.3696301,0.00251148,0.0001860243,0.001439274,0.1007989,0.008112903,0.02010763,0.026478,0.002429753,0.4670749],"study_design_scores_gemma":[0.00001930585,0.001195749,0.8337851,0.001056179,0.0001343103,0.001834257,0.09299812,0.007694472,0.005071462,0.01061301,0.04548728,0.0001108759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297541,0.002213715,0.02437031,0.0007737933,0.00003538192,0.0002794935,0.0001860605,0.0001061978,0.04228106],"genre_scores_gemma":[0.9851888,0.00166855,0.00730742,0.0000956125,0.00001400913,0.0001500727,0.0001370397,0.00003066495,0.005407957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006830628,"threshold_uncertainty_score":0.01710057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009534995224595716,"score_gpt":0.2981269960913514,"score_spread":0.2885920008667557,"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."}}