{"id":"W4392575492","doi":"10.5539/jms.v14n1p105","title":"Digital Sustainability for Human Resource Management Canvas Meta-Synthesis Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Sustainability; Resource (disambiguation); Business; Environmental resource management; Computer science; Process management; Knowledge management; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0383525,0.002346244,0.003578627,0.04131528,0.002155551,0.0093838,0.002435315,0.002298474,0.02100136],"category_scores_gemma":[0.08904051,0.0008475056,0.007718636,0.02719099,0.002795162,0.00630781,0.006269567,0.003021397,0.001358415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009857966,"about_ca_system_score_gemma":0.0189399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004828862,"about_ca_topic_score_gemma":0.008457858,"domain_scores_codex":[0.9722893,0.01742393,0.004395872,0.001791942,0.003570547,0.0005283072],"domain_scores_gemma":[0.9102643,0.07602822,0.002929282,0.003356817,0.006934898,0.0004865108],"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":[0.0004854776,0.0001119481,0.001687069,0.5067122,0.008430569,0.0005587536,0.02675208,0.00379262,0.002359209,0.1273256,0.01951212,0.3022723],"study_design_scores_gemma":[0.0001752607,0.0003145402,0.002999174,0.4004956,0.02163561,0.0002962599,0.02111376,0.001787746,0.002597911,0.08093064,0.4674975,0.0001560399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01785089,0.656339,0.1577265,0.02696652,0.00418431,0.02950951,0.03456639,0.001307699,0.07154927],"genre_scores_gemma":[0.2198349,0.3004442,0.3652179,0.009677744,0.0008921883,0.08360337,0.01031431,0.0006401113,0.009375161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04131528,"threshold_uncertainty_score":0.2028298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004736744987928,"score_gpt":0.2456973290944802,"score_spread":0.2256499616446009,"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."}}