{"id":"W2010593091","doi":"10.1016/j.apergo.2005.06.014","title":"Indicators for choosing an optimal mix of major working postures","year":2005,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Sitting; Work (physics); Blood pressure; Physical therapy; Medicine; Physical medicine and rehabilitation; Health problems; Engineering; Environmental health; Mechanical engineering; Internal 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":[0.005074798,0.001348639,0.001509219,0.005680022,0.0007753046,0.001642088,0.0006478306,0.001120881,0.00264841],"category_scores_gemma":[0.01978724,0.0003986839,0.0007915161,0.00221483,0.0003248004,0.001627995,0.0009680151,0.0007743664,0.0009081448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006270455,"about_ca_system_score_gemma":0.001295379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790061,"about_ca_topic_score_gemma":0.002693639,"domain_scores_codex":[0.9978807,0.0006221341,0.0004559814,0.0001799441,0.0006319177,0.0002293433],"domain_scores_gemma":[0.9866062,0.005276391,0.002718682,0.0003894228,0.003709053,0.001300318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003261874,0.001273428,0.7627268,0.0006001513,0.0002620594,0.00008073935,0.0003126381,0.008663705,0.01247663,0.0005501985,0.003668775,0.2061231],"study_design_scores_gemma":[0.0003211746,0.005989454,0.8925913,0.0005117856,0.0006060781,0.0006039876,0.002267697,0.07545155,0.0151314,0.003991813,0.00231046,0.00022322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8826466,0.001339867,0.1030969,0.0009191688,0.0001436425,0.0006127336,0.002325627,0.001813372,0.007102157],"genre_scores_gemma":[0.9243158,0.0002677802,0.0729668,0.0001023803,0.00003448307,0.0003145753,0.001383845,0.00005979748,0.0005545117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005680022,"threshold_uncertainty_score":0.02683842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449231219539098,"score_gpt":0.2874023272759981,"score_spread":0.2729100150806071,"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."}}