{"id":"W7117913699","doi":"10.6084/m9.figshare.30977410.v1","title":"Additional file 2 of Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; York University; University of Toronto","funders":"","keywords":"Protocol (science); Key (lock); Selection (genetic algorithm); Data collection; Systematic review","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01086603,0.002557184,0.007714113,0.01346491,0.00181167,0.003695145,0.002081789,0.002863464,0.6093492],"category_scores_gemma":[0.09594413,0.001731269,0.00571817,0.01527375,0.001144505,0.004840092,0.002914096,0.001989848,0.01984519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004929237,"about_ca_system_score_gemma":0.0110595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0115758,"about_ca_topic_score_gemma":0.02684764,"domain_scores_codex":[0.9942625,0.001600872,0.002365956,0.0008020708,0.0005497197,0.0004188001],"domain_scores_gemma":[0.9214782,0.06388724,0.007254296,0.001610095,0.004913204,0.0008569936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001452313,0.00007535697,0.000970766,0.8197752,0.001258445,0.0001364001,0.0005424812,0.0005574209,0.0002655904,0.002717104,0.1620363,0.01021275],"study_design_scores_gemma":[0.04719759,0.001068968,0.01788954,0.5257193,0.01404741,0.000560278,0.001620719,0.001806813,0.0008703835,0.0185399,0.3700736,0.000605567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.0009983204,0.004099519,0.001446772,0.001214272,0.0003004233,0.03285188,0.9555045,0.0003730747,0.003211171],"genre_scores_gemma":[0.02293104,0.009163585,0.01812639,0.005108893,0.000516484,0.7279993,0.1930224,0.0007854799,0.02234647],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.6093492,"threshold_uncertainty_score":0.5572159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09776793604984785,"score_gpt":0.4262656739190411,"score_spread":0.3284977378691932,"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."}}