{"id":"W3090421485","doi":"10.1080/00140139.2020.1831079","title":"A cross-sectional survey of musculoskeletal disorder hazard exposures and self-reported discomfort among on-shore wind turbine service technicians","year":2020,"lang":"en","type":"article","venue":"Ergonomics","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Human factors and ergonomics; Wind power; Turbine; Engineering; Hazard; Task (project management); Poison control; Aeronautics; Applied psychology; Medicine; Psychology; Mechanical engineering; Medical emergency; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002542151,0.0001853641,0.0002530883,0.00008490415,0.0001062127,0.00004844942,0.0001571044,0.0001550354,0.001500694],"category_scores_gemma":[0.00006254542,0.0001818096,0.00009244412,0.0001964915,0.00009277143,0.0001412625,0.00006243913,0.0002608499,0.00005773813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004038747,"about_ca_system_score_gemma":0.00004637654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006753523,"about_ca_topic_score_gemma":0.00191164,"domain_scores_codex":[0.9985804,0.0001018185,0.0006109872,0.0003922551,0.0001331826,0.0001813599],"domain_scores_gemma":[0.999095,0.0001265051,0.0002859184,0.0002780166,0.0001003923,0.0001141319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003622261,0.0002223178,0.9946849,0.00002830555,0.0002719056,0.000004079482,0.002137466,0.0007273271,0.00006711427,0.0003986923,0.0006209209,0.0004747217],"study_design_scores_gemma":[0.0007444289,0.0001714088,0.9942776,0.00000623414,0.00001756191,0.00001145363,0.0002509224,0.001971817,0.00002378208,0.00001071717,0.002335122,0.0001789479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960383,0.0000201471,0.0002402367,0.0002276008,0.0005432882,0.0002399037,0.0001396319,0.0001589668,0.002391937],"genre_scores_gemma":[0.9986518,0.000008066252,0.00009879424,0.000451981,0.0001252783,0.00001786986,0.0002064245,0.00003234117,0.0004074443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002613513,"threshold_uncertainty_score":0.9994121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410706792879613,"score_gpt":0.3405979307435719,"score_spread":0.3064908628147757,"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."}}