{"id":"W49859463","doi":"","title":"ENERGY MODEL BASED CONTROL FOR FORMING PROCESSES","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002109296,0.000071831,0.00007981083,0.00003442694,0.00006743918,0.000009107369,0.0000546484,0.00003594591,0.00002371591],"category_scores_gemma":[0.00001511062,0.00006850442,0.00002163136,0.00004180139,0.000007614046,0.00008938357,0.000001833743,0.00002302534,8.245241e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001333324,"about_ca_system_score_gemma":0.00003116694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.506276e-7,"about_ca_topic_score_gemma":0.000002687554,"domain_scores_codex":[0.9996467,0.000001204964,0.00008361109,0.00007577535,0.00005996635,0.0001327158],"domain_scores_gemma":[0.9998189,0.00002867434,0.00001315736,0.00006215934,0.00004725256,0.00002984207],"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":[0.000009567157,0.000006350067,0.00001072649,0.0001766816,0.000005137429,4.091094e-7,0.00004682918,0.9947621,0.0006487004,0.0003062536,0.0007161219,0.003311187],"study_design_scores_gemma":[0.0004189313,0.0000100742,0.000003510309,0.000009895561,0.000005498652,9.815095e-7,0.000001563372,0.9519721,0.04363071,0.001417701,0.002442366,0.00008671294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00293028,0.00005265898,0.9893373,0.000038132,0.00003565036,0.00007244168,0.000008720986,0.0001917364,0.007333129],"genre_scores_gemma":[0.9764585,0.0000327612,0.02298651,0.0001120367,0.00004269121,0.00009941179,0.00001063969,0.00002194691,0.0002354494],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9735283,"threshold_uncertainty_score":0.2793529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191979072659924,"score_gpt":0.1936903156565816,"score_spread":0.1817705249299824,"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."}}