{"id":"W4367017313","doi":"10.1049/icp.2023.0656","title":"Review on HR digitalization and artificial intelligence contributing to smart cities","year":2023,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002316224,0.0001641628,0.0003193413,0.0001490469,0.0003235839,0.001164487,0.0003952381,0.00006995985,0.0001198313],"category_scores_gemma":[0.005803529,0.0001159116,0.00005738972,0.001453572,0.00009233692,0.0005973571,0.0002399801,0.0001068001,0.0003979064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001872398,"about_ca_system_score_gemma":0.00005469096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001591849,"about_ca_topic_score_gemma":0.000004000809,"domain_scores_codex":[0.9978792,0.00001368567,0.0005017408,0.0004447059,0.0007424355,0.0004182284],"domain_scores_gemma":[0.9983447,0.0001945996,0.000160405,0.0001433737,0.0009970075,0.0001599347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007421403,0.00006907841,0.02570728,0.0004534498,0.000023453,0.000005862629,0.003886277,0.000007163838,0.0007503145,0.1532341,0.1364453,0.6793435],"study_design_scores_gemma":[0.0005133885,0.001655334,0.133879,0.01454139,0.0001206591,0.00004802235,0.0487566,0.02314309,0.01014587,0.3725635,0.3916647,0.002968516],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193687,0.001289046,0.02121504,0.03993887,0.001106365,0.001405421,0.0003075532,0.0005454779,0.01482356],"genre_scores_gemma":[0.9941015,0.002023999,0.00006646013,0.003274169,0.00009922131,0.00001937082,0.00002845975,0.000007818044,0.0003790216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6763749,"threshold_uncertainty_score":0.9998724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2666904870376651,"score_gpt":0.4115432988305447,"score_spread":0.1448528117928796,"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."}}