{"id":"W4399877477","doi":"","title":"Adaptive System to Enhance Operator Engagement during Smart Manufacturing Work","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; HEC Montréal","funders":"","keywords":"Operator (biology); Work (physics); Manufacturing engineering; Computer science; Smart manufacturing; Engineering; Mechanical engineering; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.001321657,0.0002045336,0.0001554083,0.0001665693,0.000194265,0.0005317436,0.0004218315,0.00008639541,0.0001125216],"category_scores_gemma":[0.00006723311,0.0002230827,0.00007472869,0.0004292808,0.00003373003,0.0004148013,0.0001277988,0.0003461958,0.0005441135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278138,"about_ca_system_score_gemma":0.00003367259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002492639,"about_ca_topic_score_gemma":0.00003480704,"domain_scores_codex":[0.9983178,0.0004465207,0.0003487348,0.0003157712,0.0002648578,0.0003063151],"domain_scores_gemma":[0.9986504,0.0003313278,0.00002692148,0.0006191312,0.000202742,0.0001695253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008186486,0.000551749,0.0011228,0.006916348,0.001206451,0.0001993459,0.1099766,0.07605364,0.04112086,0.2536986,0.01615666,0.4929151],"study_design_scores_gemma":[0.0001669379,4.040772e-7,0.001434348,0.005293557,0.00002026882,0.00001450998,0.0009239698,0.01386677,0.9340038,0.00004347939,0.04373074,0.0005011564],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.586261,0.000570263,0.1650924,0.001075383,0.0006587572,0.0005004911,0.00004135563,0.001980154,0.2438202],"genre_scores_gemma":[0.9880342,0.00003176447,0.006690788,0.00001777747,0.00002708641,0.0001105921,0.00002198569,0.00005257376,0.005013227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.892883,"threshold_uncertainty_score":0.9097047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086690052119406,"score_gpt":0.2111085675226347,"score_spread":0.2002416670014406,"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."}}