{"id":"W2801859208","doi":"10.1139/tcsme-2016-0032","title":"A NEW TYPE OF INCREMENTAL BENDING METHOD FOR COMPLICATED CURVED SHEET METAL","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bureau of International Cooperation, Chinese Academy of Sciences","keywords":"Blank; Sheet metal; Bending; Forming processes; Process (computing); Structural engineering; Trajectory; Mechanical engineering; Table (database); Computer science; Materials science; Engineering; Engineering drawing","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":[0.000208298,0.0003651889,0.0003147493,0.0004293994,0.0002393776,0.0002798743,0.001129185,0.0004301756,0.003350599],"category_scores_gemma":[0.0003648463,0.0002874224,0.0005269987,0.0003539538,0.0003757786,0.0006105074,0.0005677117,0.0004383844,0.0006967982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292406,"about_ca_system_score_gemma":0.0002424075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000286584,"about_ca_topic_score_gemma":0.0006236162,"domain_scores_codex":[0.9997594,0.00002477742,0.00001518373,0.00004683999,0.0001364398,0.00001745156],"domain_scores_gemma":[0.9998073,0.00004424288,0.00002195099,0.00006648652,0.00004563154,0.00001435799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001724058,0.00007930028,0.001560541,0.0005310681,0.00005717164,0.0004247602,0.0004290986,0.07456101,0.5197666,0.03549311,0.0025781,0.3643469],"study_design_scores_gemma":[0.00008436165,0.0007218034,0.002199599,0.00004779055,0.00007149445,0.00284613,0.0001306552,0.7489784,0.1821467,0.01053915,0.05209576,0.0001381238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01838514,0.0001933283,0.9764997,0.00003273996,0.00005330606,0.00007037206,0.000030926,0.0004755959,0.004258848],"genre_scores_gemma":[0.2917025,0.0002781764,0.7031894,0.000056846,0.00002985939,0.0001010649,0.0001050718,0.0001427404,0.004394434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003350599,"threshold_uncertainty_score":0.01120883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149005005025925,"score_gpt":0.2742101623174149,"score_spread":0.2427201122671557,"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."}}