{"id":"W2116158268","doi":"10.5539/jel.v3n3p172","title":"Enhancing Manufacturing Process Education via Computer Simulation and Visualization","year":2014,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Process (computing); Computer science; Schedule; Manufacturing engineering; Industrial engineering; Engineering drawing; Engineering; Artificial intelligence","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":[0.001093454,0.000938197,0.0005367693,0.0009408843,0.0002605747,0.002155998,0.001247341,0.0009290772,0.006649797],"category_scores_gemma":[0.003419407,0.0004347819,0.0005812096,0.0005599871,0.0004358501,0.001564768,0.001794674,0.0008951438,0.0007852909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007670672,"about_ca_system_score_gemma":0.0008934035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438426,"about_ca_topic_score_gemma":0.001183313,"domain_scores_codex":[0.9994156,0.0002286917,0.00002994614,0.00006767686,0.0002099105,0.00004821054],"domain_scores_gemma":[0.9983266,0.001104444,0.00007546644,0.0002274484,0.0001899335,0.00007608409],"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":[0.0003962495,0.0008546421,0.003067621,0.0005646003,0.00006595422,0.0002486775,0.001093771,0.6197482,0.04828016,0.02786621,0.005429682,0.2923842],"study_design_scores_gemma":[0.0001387696,0.0002471786,0.001163307,0.0001115186,0.00003676394,0.0001069725,0.000147527,0.9329632,0.02555697,0.01477818,0.02469867,0.00005092061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07104253,0.0004311424,0.8991554,0.0007938472,0.00007092561,0.0002569269,0.0001538903,0.008148198,0.01994713],"genre_scores_gemma":[0.5284413,0.001196115,0.4643045,0.0001344085,0.00003568604,0.0004215715,0.0003226108,0.0004407107,0.004703142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006649797,"threshold_uncertainty_score":0.02224576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005525331581142941,"score_gpt":0.2722630790255927,"score_spread":0.2667377474444498,"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."}}