{"id":"W2788450963","doi":"10.1139/tcsme-2015-0037","title":"PIRAA: DEVELOPMENT OF AN INJECTION MOLDING MACHINE MANUFACTURING MONITORING SYSTEM BASED ON PRODUCTION INFORMATION RETRIEVAL AGENT ARCHITECTURE","year":2015,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Production (economics); Process (computing); Molding (decorative); Data retrieval; Architecture; Information exchange; Database; Engineering; Mechanical engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005314241,0.0004411394,0.0005674125,0.0004482017,0.0003005708,0.000896393,0.001622405,0.0004788933,0.002852026],"category_scores_gemma":[0.0005849408,0.0003178562,0.0003417676,0.0002929067,0.0001983532,0.001054857,0.0006938223,0.0008087673,0.001088848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038042,"about_ca_system_score_gemma":0.001252556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002353561,"about_ca_topic_score_gemma":0.001597781,"domain_scores_codex":[0.999633,0.00003905653,0.00003304916,0.00008066619,0.000161384,0.00005291116],"domain_scores_gemma":[0.9997383,0.00002902597,0.00003590209,0.00005416552,0.0001033943,0.00003922468],"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":[0.00114628,0.001430171,0.008231592,0.0008348054,0.0003188343,0.0008975758,0.0005356796,0.1135847,0.235377,0.02082445,0.02826398,0.5885549],"study_design_scores_gemma":[0.0001774166,0.0005007529,0.002962444,0.00003573582,0.00009232658,0.0003980227,0.00005127382,0.8586128,0.07899952,0.00149226,0.0566008,0.00007677852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0578161,0.0006132691,0.8859987,0.000318383,0.0002018327,0.0008933836,0.0003220749,0.041858,0.01197831],"genre_scores_gemma":[0.5062989,0.0004305863,0.4781733,0.0002637408,0.00006280922,0.0004976792,0.001058028,0.0004490342,0.01276593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002852026,"threshold_uncertainty_score":0.009540975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367325510888104,"score_gpt":0.1997492289940532,"score_spread":0.1860759738851722,"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."}}