{"id":"W4391231019","doi":"10.1201/9781003320791-27","title":"Human-Centered AI for Industry 5.0 (HUMAI5.0)","year":2024,"lang":"it","type":"book-chapter","venue":"","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Polytechnique Montréal","funders":"","keywords":"Business; Industry 4.0; Computer science; Data mining","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0001708446,0.001080281,0.0007754673,0.0005258882,0.0001663646,0.0007709693,0.0005859504,0.003709239,0.01315086],"category_scores_gemma":[0.00001090406,0.001173484,0.0006748028,0.00009265679,0.0001457089,0.0007224905,0.0001149724,0.003640439,0.005196656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728213,"about_ca_system_score_gemma":0.00007616715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008721711,"about_ca_topic_score_gemma":0.000005335374,"domain_scores_codex":[0.9966624,0.000004371282,0.00137941,0.0006919063,0.0004884494,0.0007734702],"domain_scores_gemma":[0.9985796,0.00007744494,0.0001142359,0.0007078413,0.0001823451,0.0003385017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009193554,0.00002879291,0.000005947391,0.002238991,0.0007366241,0.00002497545,0.0001207302,0.0009966928,0.00004998124,0.9284347,0.06489413,0.002459216],"study_design_scores_gemma":[0.0008401363,0.0001398253,0.000006544594,0.002255984,0.000299461,0.00003921386,0.0001596292,0.001234289,0.000455986,0.03984169,0.9533618,0.001365454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007892989,0.0002002559,0.002819259,0.0006882954,0.003442498,0.001300338,0.001576829,0.001213799,0.9886798],"genre_scores_gemma":[0.08048066,0.00003952554,0.0002851367,0.000420226,0.001356928,0.0001566551,0.0005295753,0.0005369261,0.9161944],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.888593,"threshold_uncertainty_score":0.9990715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05442648715360314,"score_gpt":0.2805674150432973,"score_spread":0.2261409278896941,"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."}}