{"id":"W2490082247","doi":"10.4271/2016-01-2090","title":"Software Complex for Simulation of Riveting Process: Concept and Applications","year":2016,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Contact Mechanics and Variational Inequalities","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alzheimer Society Research Program; Saint Petersburg State University","keywords":"Rivet; Computer science; Process (computing); Software; Software engineering; Systems engineering; Engineering; Operating system; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004797873,0.0003259145,0.000488102,0.0001230107,0.0002966048,0.00007801597,0.0008297492,0.0002756511,0.0000640857],"category_scores_gemma":[0.0008928097,0.0002446269,0.0001785397,0.0003663956,0.0002095897,0.0005702471,0.0003180761,0.0001886929,0.000006715115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008797771,"about_ca_system_score_gemma":0.00009512495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009888695,"about_ca_topic_score_gemma":0.002154825,"domain_scores_codex":[0.9975291,0.00006835199,0.0007608705,0.0007537425,0.0004823028,0.0004055715],"domain_scores_gemma":[0.9964476,0.001996888,0.0003277483,0.0007384268,0.0003303705,0.0001589452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004008977,0.00008311731,0.00003360107,0.00004165213,0.0000148114,5.049138e-7,0.00005782716,0.00003554373,0.500884,0.4836766,0.00008250809,0.01504974],"study_design_scores_gemma":[0.001608826,0.001502658,0.7848074,0.0003631791,0.00005947344,0.00001853933,0.0001360686,0.00002636774,0.0004579541,0.1730471,0.03713286,0.0008395479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2370865,0.002735423,0.6136944,0.07323889,0.001339271,0.02494676,0.003230269,0.01833884,0.02538963],"genre_scores_gemma":[0.9742811,0.00003964385,0.02419779,0.0006634819,0.0000988125,0.0005434967,0.00002468813,0.00003252654,0.0001184603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7847739,"threshold_uncertainty_score":0.9975595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187533509454185,"score_gpt":0.2978767188796912,"score_spread":0.2660013837851494,"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."}}