{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003115325,0.0008999869,0.0006427853,0.001300629,0.002068636,0.007520786,0.002783018,0.003503722,0.00468925],"category_scores_gemma":[0.004440247,0.0006900287,0.0009936113,0.00175688,0.004987378,0.01128274,0.006999413,0.003318085,0.001851426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756324,"about_ca_system_score_gemma":0.002508539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002418378,"about_ca_topic_score_gemma":0.001772477,"domain_scores_codex":[0.9978248,0.0007413226,0.0001754473,0.000265874,0.0007048841,0.0002877144],"domain_scores_gemma":[0.9983075,0.0006942256,0.0001540395,0.000436105,0.0002248161,0.0001834477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005650223,0.000009016381,0.00003230283,0.00006404328,0.0000052794,0.00008453447,0.0002007965,0.002929926,0.0002289937,0.9858372,0.001519787,0.009082503],"study_design_scores_gemma":[0.00001754859,0.00001843607,0.0000587526,0.0001594684,0.00001218314,0.0001901255,0.0002292277,0.01394664,0.0007663091,0.8473255,0.1372531,0.00002274841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006557868,0.007740086,0.8419114,0.008456696,0.0006601072,0.0002075118,0.0001501576,0.000950558,0.1333657],"genre_scores_gemma":[0.4167,0.0190871,0.5274807,0.001874374,0.00105916,0.001119929,0.0006153336,0.0002382715,0.03182513],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007520786,"threshold_uncertainty_score":0.01647562,"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."}}