{"id":"W4233496901","doi":"10.32920/ryerson.14638656","title":"Quantifying an Organisation's Human Factors Capability: Targeting World Class Integration","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"World class; Process (computing); Process management; Productivity; Class (philosophy); Maturity (psychological); Quality (philosophy); Benchmark (surveying); Human resources; Knowledge management; Computer science; Business; Engineering; Management; Manufacturing engineering; Artificial intelligence; Political science","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":[0.009176427,0.000999885,0.0004814964,0.009007237,0.0008172519,0.003627077,0.0006052159,0.0006357575,0.00284662],"category_scores_gemma":[0.02443174,0.0002003891,0.000800553,0.006374712,0.0007646785,0.003088216,0.00217669,0.0006342134,0.00070084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696851,"about_ca_system_score_gemma":0.001886454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008075498,"about_ca_topic_score_gemma":0.01190639,"domain_scores_codex":[0.9940606,0.001705461,0.0005570877,0.0004409449,0.002758075,0.0004777751],"domain_scores_gemma":[0.9642115,0.01630791,0.006540359,0.002317964,0.009426356,0.001195938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000166338,0.000494522,0.5948088,0.0007872149,0.0002522996,0.00007191071,0.007529002,0.003770485,0.004018879,0.005384791,0.003088627,0.3796272],"study_design_scores_gemma":[0.00001792249,0.0006331763,0.9613795,0.0003694645,0.00007506075,0.00008505992,0.00786084,0.00904765,0.004067162,0.0049676,0.01139468,0.0001018363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8033276,0.001612359,0.1145053,0.0009696528,0.0001017211,0.001273341,0.002369847,0.0005414655,0.07529875],"genre_scores_gemma":[0.9182469,0.0005525859,0.07574949,0.00009956738,0.00003841873,0.000778989,0.00112633,0.00005016991,0.003357566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009176427,"threshold_uncertainty_score":0.04853022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2825264283155799,"score_gpt":0.5242295871949543,"score_spread":0.2417031588793743,"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."}}