{"id":"W2046465677","doi":"10.1115/msec2006-21072","title":"Overview of a Distributed Process Planning Approach Targeting Manufacturing Uncertainty","year":2006,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; National Research Council Canada","funders":"","keywords":"Dynamism; Computer science; Function (biology); Process (computing); Machining; Plan (archaeology); Production planning; Distributed computing; Engineering; Production (economics); Mechanical engineering","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":[0.00109443,0.0007961334,0.0008961555,0.0006871956,0.0005386485,0.001408966,0.001745719,0.0009353613,0.002504686],"category_scores_gemma":[0.001327884,0.000570524,0.0009969476,0.001283415,0.0007340911,0.001219195,0.001493039,0.001381939,0.0005814529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009667418,"about_ca_system_score_gemma":0.001293442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169698,"about_ca_topic_score_gemma":0.001456654,"domain_scores_codex":[0.9990428,0.0002338541,0.00006517363,0.0002026778,0.0003902334,0.00006527116],"domain_scores_gemma":[0.9994627,0.0002821078,0.00003692743,0.00008568967,0.0001053233,0.00002732212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007647885,0.0000557277,0.0003345244,0.0005242699,0.00009045835,0.0001957536,0.0001348255,0.6465181,0.005431359,0.1053142,0.002146013,0.2391782],"study_design_scores_gemma":[0.00002881197,0.00006070247,0.0001205815,0.00003786236,0.00003931311,0.00009456708,0.00002998183,0.8994907,0.002717786,0.07503095,0.02233238,0.00001643013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005659647,0.0003818592,0.9972506,0.00008322888,0.00001979791,0.0000145657,0.0000146424,0.0001425534,0.001526751],"genre_scores_gemma":[0.1919224,0.002620035,0.8002624,0.0001805405,0.0001856295,0.000290052,0.0002389905,0.0001806931,0.004119299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002504686,"threshold_uncertainty_score":0.008378983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599943909750472,"score_gpt":0.2356704578860612,"score_spread":0.2196710187885564,"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."}}