{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003590536,0.0008691484,0.0003386645,0.001425308,0.0007535277,0.0035281,0.002101619,0.002881762,0.02093572],"category_scores_gemma":[0.007666325,0.0004868405,0.0009868033,0.001118907,0.001058109,0.002604684,0.005102582,0.002971863,0.01198732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009351649,"about_ca_system_score_gemma":0.002497859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109033,"about_ca_topic_score_gemma":0.001409088,"domain_scores_codex":[0.99818,0.0005615049,0.0001521157,0.0002245384,0.0007164955,0.0001654643],"domain_scores_gemma":[0.9972489,0.0009447801,0.000199559,0.0005648468,0.0006554919,0.0003863111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000205649,0.0001619938,0.001545975,0.002577826,0.000103548,0.0002872995,0.002059551,0.003566427,0.009819429,0.2512849,0.1133852,0.6150022],"study_design_scores_gemma":[0.00005120786,0.0002262968,0.002220193,0.001175858,0.0000653243,0.0005773403,0.0001891406,0.008491145,0.006728522,0.1048487,0.8753322,0.00009405139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005853988,0.01334427,0.6831623,0.006133815,0.001277523,0.001171397,0.003105109,0.04781003,0.2381416],"genre_scores_gemma":[0.08417542,0.01026984,0.8383419,0.005193655,0.0006435892,0.00234019,0.007386094,0.004457923,0.04719141],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02093572,"threshold_uncertainty_score":0.07003695,"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."}}