{"id":"W4386785534","doi":"10.3390/engproc2023043020","title":"Selection and Characterization of a Flexible Seal to Allow Sheet Flow during Superplastic Forming","year":2023,"lang":"en","type":"article","venue":"","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"NanoQuébec (Canada); Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois de recherche et de développement de l’aluminium","keywords":"Superplasticity; Durability; Materials science; Leakage (economics); Aluminium; Mass flow; Thermoforming; Composite material; Volumetric flow rate; Mold; Mechanical engineering; Metallurgy; Alloy; Engineering; Mechanics","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":[0.0007591679,0.0003107678,0.0003447265,0.0004998709,0.0002745002,0.0004366681,0.0003624691,0.0005535745,0.0004290471],"category_scores_gemma":[0.001243956,0.0002100272,0.0002995564,0.0003961584,0.0003978746,0.0004198134,0.0002594928,0.0002382696,0.0001785765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341622,"about_ca_system_score_gemma":0.000264026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003674153,"about_ca_topic_score_gemma":0.0004885251,"domain_scores_codex":[0.9993472,0.00005297899,0.00005644329,0.0001068721,0.0003443703,0.00009210033],"domain_scores_gemma":[0.9987047,0.0001735302,0.000523787,0.0001215671,0.0003678819,0.0001084406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007131092,0.00003979769,0.001475414,0.0001078226,0.000005574977,0.0001534444,0.0002154013,0.001021166,0.9928663,0.000103529,0.00008418891,0.003856135],"study_design_scores_gemma":[0.000009853558,0.00100945,0.008888868,0.00001187755,0.00001668428,0.0001930307,0.0001288023,0.00293903,0.9847253,0.0000256902,0.002031472,0.00001992426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951481,0.0003311638,0.00402098,0.0000179114,0.00001463902,0.00003907282,0.0001113506,0.00005483478,0.0002619646],"genre_scores_gemma":[0.9937398,0.0002053687,0.00531931,0.000013252,0.000005991434,0.00002832584,0.0001745017,0.00002892079,0.0004844202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007591679,"threshold_uncertainty_score":0.004014909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009577655442832884,"score_gpt":0.2285761268243014,"score_spread":0.2189984713814686,"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."}}