{"id":"W3204356557","doi":"10.12688/f1000research.73069.1","title":"Workplace ergonomics problems and solutions: Working from home","year":2021,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Gender Studies and Social Issues","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Human factors and ergonomics; Work (physics); Desk; Psychology; Medicine; Poison control; Engineering; Environmental health; Mechanical engineering","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":[0.003213565,0.000562348,0.0004230344,0.000803686,0.005861525,0.003991692,0.001186765,0.002233768,0.004114892],"category_scores_gemma":[0.005100898,0.0003447166,0.0006344413,0.0007207738,0.00207531,0.003816752,0.004206137,0.0017685,0.0005795786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087656,"about_ca_system_score_gemma":0.005037177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00855725,"about_ca_topic_score_gemma":0.01311195,"domain_scores_codex":[0.9966593,0.001607537,0.0002396947,0.0002114788,0.0004693796,0.0008126279],"domain_scores_gemma":[0.9969122,0.000816063,0.000785292,0.0001387793,0.0006628531,0.0006846644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000161618,0.001087141,0.1329594,0.003228051,0.0001013123,0.008934559,0.6103213,0.0005299067,0.00380994,0.004231052,0.02217127,0.2124644],"study_design_scores_gemma":[0.00001389378,0.0003540842,0.05082427,0.001849941,0.00003792525,0.001773954,0.9113662,0.0002034814,0.0006205622,0.001562794,0.0313277,0.00006518657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381787,0.006664207,0.003360873,0.02802061,0.0009195626,0.0002586543,0.000132122,0.00008117995,0.02238418],"genre_scores_gemma":[0.9835609,0.00507579,0.002556076,0.003343559,0.0001398303,0.0001083275,0.00007834894,0.000015362,0.005121689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00855725,"threshold_uncertainty_score":0.01701492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2011126835157777,"score_gpt":0.3766975495150899,"score_spread":0.1755848659993122,"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."}}