{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002435932,0.0005534963,0.0005008283,0.0004340901,0.00007354144,0.0002770005,0.0003183811,0.001004626,0.00003069349],"category_scores_gemma":[0.0000381015,0.0006089208,0.0000762616,0.0000606384,0.0001207708,0.000329018,0.00006518033,0.00184188,0.0000101411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000453562,"about_ca_system_score_gemma":0.00009052517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000156784,"about_ca_topic_score_gemma":0.000004993264,"domain_scores_codex":[0.9980212,0.00001887312,0.0005988186,0.0005059527,0.0003419219,0.0005131849],"domain_scores_gemma":[0.9992031,0.00009419456,0.000152428,0.0002744182,0.0000951646,0.000180653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001550878,0.00003039376,0.001607982,0.001099257,0.0006319318,0.0004946049,0.001480779,0.7931652,0.0002671032,0.00343103,0.14328,0.0543566],"study_design_scores_gemma":[0.008868642,0.000111861,0.001814409,0.005754659,0.0003690402,0.00005040359,0.0007531737,0.1772063,0.01362977,0.008194894,0.7763025,0.006944342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003799209,0.003961224,0.01854689,0.000282587,0.003352088,0.001327556,0.0005355465,0.001767984,0.9664269],"genre_scores_gemma":[0.2607435,0.0005179534,0.03442696,0.0004866292,0.003112678,0.000472625,0.001925254,0.001469124,0.6968452],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6330224,"threshold_uncertainty_score":0.9996362,"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."}}