{"id":"W2039631192","doi":"10.1243/0954405011519222","title":"Common generic model of the holonic manufacturing systems project","year":2001,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Variety (cybernetics); Manufacturing engineering; Computer science; Systems engineering; Engineering; Artificial intelligence","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":[0.000443461,0.000325746,0.0006165919,0.0002510964,0.00006360378,0.00002705667,0.0008657238,0.0002361755,0.000004935749],"category_scores_gemma":[0.0001230535,0.0002116955,0.0003506386,0.0003679876,0.00006609176,0.0003313304,0.0001098369,0.0006345082,2.579318e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283789,"about_ca_system_score_gemma":0.00006305469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007596247,"about_ca_topic_score_gemma":6.091918e-7,"domain_scores_codex":[0.9978575,0.000008472175,0.001053433,0.0001505312,0.0006322328,0.0002978152],"domain_scores_gemma":[0.9987423,0.00004107929,0.0006645004,0.0002262468,0.0002447449,0.00008115133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003146933,0.00003363442,0.00002660179,0.000933646,0.0001202492,6.535248e-7,0.0001257216,0.9763919,0.02045482,0.001474662,0.0002188504,0.000187829],"study_design_scores_gemma":[0.0004425297,0.00006337073,0.0001527695,0.0008136564,0.0001332369,0.0001066121,0.00005345721,0.4928825,0.5036781,0.000116687,0.001350527,0.0002066123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517766,0.0007509966,0.04475243,0.00009288708,0.001808057,0.0004444177,0.00002058739,0.00008753326,0.0002665108],"genre_scores_gemma":[0.9975148,0.0004186977,0.001824053,0.000009038292,0.0001406599,0.000008331712,0.000001052448,0.00004409096,0.00003925599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4835094,"threshold_uncertainty_score":0.8632691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579587324187209,"score_gpt":0.2027289777178755,"score_spread":0.1869331044760034,"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."}}