{"id":"W1982181491","doi":"10.1115/pvp2011-57917","title":"A Framework for Designer-Driven Exploration of Computational Weld Mechanics Design Space","year":2011,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"U.S. Department of Energy","keywords":"Welding; Distortion (music); Bending; Computer science; Point (geometry); Set (abstract data type); Structural engineering; Mechanical engineering; Engineering; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006661503,0.00007131646,0.00008288389,0.00004800095,0.00002575221,0.00000884712,0.0000584092,0.00006709542,0.0001042603],"category_scores_gemma":[0.00002168474,0.0000691069,0.00002431348,0.00006028753,0.000004477735,0.0001799533,0.000005934582,0.00003673396,0.000004033085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001136159,"about_ca_system_score_gemma":0.000009912181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000277836,"about_ca_topic_score_gemma":0.000001045453,"domain_scores_codex":[0.999635,0.000007567218,0.0001273508,0.00007667811,0.00006957669,0.00008384493],"domain_scores_gemma":[0.9997415,0.00007370002,0.00003267212,0.00006544023,0.00006246631,0.00002424903],"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":[0.00001337918,0.00001126267,0.000001975306,0.00005827572,0.00001247815,8.636098e-8,0.0005971174,0.9036514,0.00004437158,0.0946657,0.0001404982,0.000803514],"study_design_scores_gemma":[0.0001005551,0.00004943079,0.00001075961,0.00001711874,0.000008802278,2.059518e-7,0.00004577189,0.7769239,0.04349553,0.1792357,0.00003791769,0.00007433695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001942395,0.00001782341,0.9988359,0.00001930796,0.00009199879,0.0002275975,0.000002304852,0.0001367234,0.0004740617],"genre_scores_gemma":[0.428939,0.000009449711,0.5709678,0.000009103996,0.0000126218,0.00002707389,0.000005825803,0.00001165065,0.0000174699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4287447,"threshold_uncertainty_score":0.2818098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08407082470149832,"score_gpt":0.2463984064866437,"score_spread":0.1623275817851454,"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."}}