{"id":"W1528580043","doi":"10.1007/0-387-22829-2_14","title":"Agent-Based Distributed Collaborative Monitoring and Maintenance in Manufacturing","year":2006,"lang":"en","type":"book-chapter","venue":"Kluwer Academic Publishers eBooks","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Scheduling (production processes); Predictive maintenance; Engineering; Software; Process (computing); Computer science; Systems engineering; Negotiation; Software engineering; Manufacturing engineering; Reliability engineering; Operations management; Operating system","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":[0.0004420267,0.0004071693,0.0004240779,0.0002750726,0.0002975948,0.0008425332,0.00124825,0.0007851667,0.001755455],"category_scores_gemma":[0.000794437,0.0002444304,0.0002204711,0.0005661012,0.0003284011,0.0007582801,0.000654818,0.0006080072,0.0005488183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004332712,"about_ca_system_score_gemma":0.0003449236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291686,"about_ca_topic_score_gemma":0.001052354,"domain_scores_codex":[0.99968,0.0001052597,0.00001216647,0.00005720343,0.0001229487,0.00002231936],"domain_scores_gemma":[0.9997945,0.0001168342,0.00001472398,0.00003720215,0.00002493548,0.00001176383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000130394,0.0001617824,0.0004141056,0.0001879721,0.00004823473,0.0002090166,0.0001999329,0.3385194,0.007488093,0.0742671,0.0123223,0.5660517],"study_design_scores_gemma":[0.0000335753,0.00006683464,0.0003367167,0.00003119258,0.0000178741,0.0001552711,0.00003410137,0.9173208,0.003192412,0.03557867,0.04322011,0.00001248263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.011118,0.005172261,0.9643403,0.0003160201,0.0001569712,0.00005633885,0.00002167694,0.0006886057,0.01812977],"genre_scores_gemma":[0.3999778,0.004566838,0.5633155,0.0001842575,0.000205171,0.0001982076,0.0001515247,0.000142511,0.03125821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001755455,"threshold_uncertainty_score":0.005872548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088799245587971,"score_gpt":0.2129425184388348,"score_spread":0.2020545259829551,"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."}}