{"id":"W4206262646","doi":"10.31224/osf.io/cuhdr","title":"Simulation and automation of aluminum panel shot peen forming","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Polytechnique Montréal","keywords":"Shot (pellet); Automation; Aluminium; One shot; Engineering; Computer science; Materials science; Metallurgy; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002209333,0.0003360723,0.0003503028,0.0002436546,0.0003072318,0.0004741803,0.0006811276,0.0006860832,0.002718466],"category_scores_gemma":[0.0007282267,0.0002758356,0.0004510517,0.0002182402,0.0005091012,0.0002791867,0.0004570252,0.0003128257,0.0003035135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321644,"about_ca_system_score_gemma":0.0005615283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003455735,"about_ca_topic_score_gemma":0.002051512,"domain_scores_codex":[0.9998024,0.00004237464,0.000009360006,0.00003020969,0.00008369904,0.00003188364],"domain_scores_gemma":[0.9996891,0.0001538711,0.0000304667,0.00006007719,0.00004717038,0.00001927744],"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":[0.00003590094,0.00002630188,0.0005073032,0.00003389512,0.000007780183,0.00006319411,0.00006610754,0.980444,0.009890414,0.002776408,0.0001555546,0.005993264],"study_design_scores_gemma":[0.00001189492,0.00002219786,0.0001649533,0.000002599585,0.000002501289,0.00001838576,0.000009350652,0.9932673,0.004952461,0.00076648,0.0007774266,0.000004485422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.303836,0.0001135374,0.68033,0.00009687094,0.00003853223,0.0001310193,0.0003489138,0.002473628,0.01263158],"genre_scores_gemma":[0.8827377,0.00008085096,0.1142303,0.00001848955,0.00000501987,0.0001337727,0.0002526493,0.0001622583,0.002378964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003455735,"threshold_uncertainty_score":0.009094238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429642340035479,"score_gpt":0.2848762994520892,"score_spread":0.2405798760517344,"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."}}