{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002019795,0.0005625214,0.001026226,0.005328029,0.0004459303,0.002634861,0.0007458705,0.001129539,0.007089627],"category_scores_gemma":[0.007742008,0.0003400591,0.001196891,0.007826068,0.0006618198,0.002358711,0.0009304442,0.001141509,0.0009295621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614586,"about_ca_system_score_gemma":0.005968419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00422853,"about_ca_topic_score_gemma":0.008769781,"domain_scores_codex":[0.9986628,0.0005141158,0.0002580821,0.0001232893,0.0003582363,0.00008344553],"domain_scores_gemma":[0.9915106,0.006241822,0.0007915235,0.0001299102,0.001149835,0.0001762803],"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":[0.00009988778,0.00005077035,0.0007686508,0.2107409,0.0005951307,0.0002639112,0.0008199624,0.0005868234,0.0004586939,0.01330302,0.05315463,0.7191575],"study_design_scores_gemma":[0.00001456468,0.000107087,0.004316117,0.1355393,0.001082164,0.0005895999,0.0008523745,0.0001368793,0.0002596976,0.004054469,0.8530199,0.00002781684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003132515,0.9947177,0.0001837171,0.001446926,0.0004204521,0.00001447539,0.00004675692,0.000004690786,0.002852053],"genre_scores_gemma":[0.002761585,0.9960002,0.0001673525,0.000516144,0.0002212304,0.00001194657,0.00003475014,0.000001580097,0.0002851658],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007089627,"threshold_uncertainty_score":0.02371711,"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."}}