{"id":"W1830027626","doi":"10.5200/321","title":"The Working Environment and Health Of Specialists Working with Computers","year":2012,"lang":"en","type":"article","venue":"Sveikatos mokslai / Health Sciences","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Working environment; Working time; Work (physics); Working hours; Working age; Quarter (Canadian coin); Table (database); Medicine; Psychology; Engineering; Computer science; Environmental health; Database; Population; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269418,0.0001523789,0.000256493,0.00007809732,0.0009226322,0.00005223343,0.0002884772,0.00003733072,0.00002281335],"category_scores_gemma":[0.000004790923,0.00009960371,0.00004053304,0.0002384542,0.0008438951,0.00008294007,0.00008379862,0.0001462159,0.000009864445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008188472,"about_ca_system_score_gemma":0.0001584568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100712,"about_ca_topic_score_gemma":0.0006733297,"domain_scores_codex":[0.997999,0.000157177,0.00039722,0.000329412,0.0002792195,0.0008379857],"domain_scores_gemma":[0.9989,0.0001784037,0.0003985882,0.0002517593,0.000006835382,0.000264418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004406319,0.0001503065,0.4662211,0.00006004938,0.00004497451,5.069639e-7,0.009555504,0.00009742117,0.000003733901,0.1437926,0.001846265,0.3781835],"study_design_scores_gemma":[0.0006056039,0.0007106854,0.9062212,0.0001862354,0.000005176949,0.00001401681,0.005939264,0.0001270283,0.000003531291,0.0006044663,0.0853292,0.0002536369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191921,0.03364259,0.001506855,0.02172478,0.003254581,0.001158003,0.000004898875,0.00005592098,0.01946025],"genre_scores_gemma":[0.9956202,0.001046861,0.001575496,0.001479288,0.0001778747,0.00001937088,0.000001594761,0.00001219244,0.00006716048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.44,"threshold_uncertainty_score":0.7096234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06461369882120933,"score_gpt":0.3324000874277473,"score_spread":0.267786388606538,"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."}}