{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004388065,0.0001052738,0.0002094837,0.0004187309,0.0001085826,0.0001274023,0.000297426,0.0001459309,0.0002139588],"category_scores_gemma":[0.001365217,0.00008875164,0.00006833768,0.0008845309,0.0001190367,0.000247926,0.00004427281,0.00055253,0.0001610034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201464,"about_ca_system_score_gemma":0.001218229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008206756,"about_ca_topic_score_gemma":0.00004970438,"domain_scores_codex":[0.9977553,0.0006168651,0.0004863452,0.0001845732,0.0006415718,0.000315345],"domain_scores_gemma":[0.9963598,0.0002326199,0.0002505633,0.0002176016,0.002687979,0.0002514256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.04141295,0.012694,0.00419937,0.0005988745,0.002004829,0.001925856,0.02255,0.00340832,0.1367586,0.3564052,0.2191649,0.1988772],"study_design_scores_gemma":[0.02817917,0.02378996,0.2257662,0.0009649894,0.0002555971,0.003266545,0.03856444,0.002005775,0.01112105,0.2352323,0.4280761,0.002777893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7625273,0.0008406379,0.2069301,0.01619111,0.002143168,0.001158002,0.0000124709,0.00003831434,0.01015895],"genre_scores_gemma":[0.9949593,0.00002309536,0.00371307,0.0000688245,0.0003864396,0.00003155946,0.00000366173,0.00002295737,0.0007910887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2324321,"threshold_uncertainty_score":0.3619187,"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."}}