{"id":"W2144940194","doi":"10.1080/00207540701737815","title":"Enabling technologies and frameworks for collaborative intelligent manufacturing","year":2008,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Distributed manufacturing; Manufacturing engineering; Smart manufacturing; Computer-integrated manufacturing; Engineering; Advanced manufacturing; Process development execution system; Computer science","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":[0.0005009151,0.00006775598,0.00009574972,0.0004962105,0.000113421,0.00006302889,0.0001944322,0.00009703197,0.00001394325],"category_scores_gemma":[0.0004991991,0.00005934729,0.00002624102,0.0001201808,0.00008978644,0.0002610932,0.00003999753,0.0004987078,0.000001340965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009924476,"about_ca_system_score_gemma":0.00003738915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001665568,"about_ca_topic_score_gemma":0.000001261436,"domain_scores_codex":[0.9990969,0.00001712559,0.0002389297,0.000107008,0.0004073083,0.000132759],"domain_scores_gemma":[0.9986024,0.00009575501,0.00006463766,0.00006549412,0.001142815,0.00002885457],"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":[0.0004399276,0.000124003,0.0007573806,0.0002495945,0.0005111748,0.00006312183,0.004353465,0.5049062,0.005231499,0.001310952,0.008685728,0.473367],"study_design_scores_gemma":[0.000386918,0.0001516241,0.0005848582,0.0001830466,0.000007663969,0.0002599859,0.003250573,0.00528116,0.9306093,0.005987408,0.05313266,0.0001647969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8296749,0.00450647,0.1565563,0.005156389,0.003085307,0.0004664704,0.000007465379,0.0001799043,0.000366739],"genre_scores_gemma":[0.9826801,0.007212122,0.009476311,0.000006120093,0.0004394437,0.00001497409,0.000001890545,0.00001337819,0.000155601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9253778,"threshold_uncertainty_score":0.2420112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06208132211551824,"score_gpt":0.3436799073547265,"score_spread":0.2815985852392083,"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."}}