{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002461833,0.0003384081,0.0002817819,0.0003052447,0.0002119498,0.0004008145,0.0004281887,0.0004808249,0.007006891],"category_scores_gemma":[0.000807132,0.00009842501,0.0001626545,0.0001277766,0.0001216744,0.0002867354,0.0006616665,0.0002133706,0.0009833603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215888,"about_ca_system_score_gemma":0.0001962947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004931538,"about_ca_topic_score_gemma":0.0007714292,"domain_scores_codex":[0.9998468,0.00003675095,0.000006324072,0.00004536887,0.00003774064,0.00002691338],"domain_scores_gemma":[0.999662,0.0001533976,0.00002678385,0.00001935613,0.00008401716,0.0000544168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003117481,0.00141627,0.007445962,0.0005310134,0.00008093011,0.0005842443,0.001353891,0.01263718,0.5418091,0.001076154,0.004609437,0.4253382],"study_design_scores_gemma":[0.0006744182,0.009167504,0.09279304,0.0002233451,0.0003857837,0.0009176261,0.001737659,0.7193967,0.1415243,0.003536122,0.02946824,0.0001753788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6170281,0.0003391295,0.3665379,0.0002846271,0.0003893757,0.0004122191,0.0002202265,0.002922249,0.01186618],"genre_scores_gemma":[0.9692386,0.0000634409,0.02578547,0.0001321146,0.00003821526,0.0001938786,0.00008653203,0.00004478464,0.004416929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007006891,"threshold_uncertainty_score":0.02344036,"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."}}