{"id":"W2557495570","doi":"10.5267/j.msl.2016.11.008","title":"Decision making models and human factors: TOPSIS and Ergonomic Behaviors (TOPSIS-EB)","year":2016,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Computer science; Psychology; Operations management; Operations research; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005788849,0.002100541,0.001203925,0.004946784,0.00143794,0.003875023,0.001000634,0.0007569672,0.00357244],"category_scores_gemma":[0.01011627,0.0006867645,0.002207988,0.005464051,0.000894498,0.001583445,0.001689331,0.001773716,0.0004793411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003218278,"about_ca_system_score_gemma":0.005643445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008627314,"about_ca_topic_score_gemma":0.007618989,"domain_scores_codex":[0.9912526,0.005993724,0.0005814141,0.0004251247,0.001511593,0.0002355825],"domain_scores_gemma":[0.9933861,0.004885159,0.0004896822,0.000118951,0.0009360578,0.0001839909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006510374,0.001027259,0.06579396,0.006676154,0.004039776,0.00151164,0.008788457,0.2635961,0.004828307,0.08067665,0.01228593,0.5501248],"study_design_scores_gemma":[0.0003515859,0.001854948,0.03774978,0.002402629,0.001759007,0.0009786736,0.01203753,0.7886106,0.003552986,0.1259287,0.02440939,0.0003641706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.222807,0.003081957,0.738186,0.003437853,0.0003789158,0.002953232,0.001443554,0.0007762057,0.02693516],"genre_scores_gemma":[0.7302506,0.002393279,0.2627298,0.000178463,0.00006064032,0.001620234,0.0009016538,0.00003291817,0.001832321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008627314,"threshold_uncertainty_score":0.03061473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536478168156472,"score_gpt":0.2337994537275446,"score_spread":0.2184346720459799,"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."}}