{"id":"W2585302210","doi":"10.3791/55061","title":"Experimental Procedure for Warm Spinning of Cast Aluminum Components","year":2017,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Spinning; Automotive industry; Materials science; Deformation (meteorology); Mechanical engineering; Aluminium; Forming processes; Thermal; Computer science; Composite material; Engineering; Aerospace engineering; Physics","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":[0.0002495263,0.000182729,0.0004611083,0.0001040495,0.0001754916,0.00006900528,0.000371154,0.00008141617,0.0000901139],"category_scores_gemma":[0.00005240052,0.0001648928,0.0001800247,0.00002265981,0.00005575678,0.0004500226,0.00006220144,0.00008646761,0.000004394139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006292913,"about_ca_system_score_gemma":0.00002379852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008557099,"about_ca_topic_score_gemma":2.031065e-7,"domain_scores_codex":[0.9987515,0.00001516563,0.0006354847,0.00009862463,0.0002630057,0.0002362612],"domain_scores_gemma":[0.9990407,0.00001507677,0.0005246583,0.0002127416,0.00009477149,0.0001120987],"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":[0.0002676969,0.0001339301,0.00009318961,0.0001194186,0.0001698818,0.0000112715,0.001154234,0.00007510241,0.9972057,0.0001655214,0.000381663,0.0002224222],"study_design_scores_gemma":[0.002650859,0.0002519086,0.000245907,0.00025235,0.00002915263,0.00005178057,0.0004003562,0.001088413,0.9916955,0.00003665744,0.003136107,0.0001609964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948592,0.0007257139,0.00157253,0.000009155203,0.001972427,0.0002133863,0.000006252073,0.00002100817,0.0006203008],"genre_scores_gemma":[0.9951645,0.00002093568,0.004413706,0.00001296312,0.000245881,0.00001507381,0.000003871158,0.00004110115,0.00008192902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005510157,"threshold_uncertainty_score":0.6724131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0554661061745215,"score_gpt":0.4128870818823018,"score_spread":0.3574209757077803,"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."}}