{"id":"W2147404545","doi":"10.5430/jbar.v4n2p20","title":"Biomechanical & Labor Protective Clothing Design","year":2015,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Business; Political science; Law","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":[0.000466851,0.0009266231,0.0002286767,0.001070172,0.0007291718,0.001041672,0.0009168333,0.0006809303,0.02331448],"category_scores_gemma":[0.0009474994,0.0002744586,0.0003212086,0.0006815753,0.0005701458,0.0008618942,0.0009847451,0.0003454761,0.005915697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003637246,"about_ca_system_score_gemma":0.000560745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252958,"about_ca_topic_score_gemma":0.001555557,"domain_scores_codex":[0.9994468,0.0001550047,0.00004457559,0.0000657311,0.0002517561,0.00003612816],"domain_scores_gemma":[0.99965,0.00004715405,0.00004429029,0.00005445513,0.0001650659,0.00003900509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003060259,0.000181615,0.004101155,0.001784223,0.00003267276,0.00105343,0.0006675312,0.008909818,0.07045548,0.02836499,0.03836674,0.8457763],"study_design_scores_gemma":[0.00008243097,0.001493542,0.026289,0.00086348,0.0001011074,0.003919938,0.001620686,0.0522342,0.03027668,0.02190503,0.8610597,0.0001543398],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08177497,0.007595633,0.6202968,0.004140363,0.003066736,0.001211218,0.001212843,0.002446389,0.278255],"genre_scores_gemma":[0.522117,0.005776558,0.3046412,0.001347706,0.0003863231,0.0009296975,0.0008515557,0.0003609588,0.163589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02331448,"threshold_uncertainty_score":0.0779947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2818043199031141,"score_gpt":0.4655219436617591,"score_spread":0.183717623758645,"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."}}