{"id":"W4210571739","doi":"10.1115/imece2021-72044","title":"Virtual Surface Roughness Measurements From an ‘As-Built’ Virtual CAD Model for Bead Based Deposition Additive Manufactured Components","year":2021,"lang":"en","type":"article","venue":"Volume 2A: Advanced Manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Surface roughness; Surface finish; Curvature; CAD; Engineering drawing; Machining; Materials science; Mechanical engineering; Projection (relational algebra); Computer Aided Design; Bead; Computer science; Geometry; Engineering; Composite material; Mathematics; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001831322,0.0008554978,0.0007537763,0.0002364009,0.0004997352,0.0002041153,0.0006574545,0.0003782572,0.000138764],"category_scores_gemma":[0.0001369211,0.0009854552,0.0002731406,0.0001627199,0.0001193474,0.0008811028,0.0002403386,0.000683747,0.00007316287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055743,"about_ca_system_score_gemma":0.00007537261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001123576,"about_ca_topic_score_gemma":0.0002875631,"domain_scores_codex":[0.9963495,0.0001006853,0.0006654782,0.001191444,0.0006497251,0.001043215],"domain_scores_gemma":[0.9980725,0.000267293,0.0002084156,0.000993842,0.0001920743,0.0002658663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001986035,0.0001421267,0.00006879636,0.00006701671,0.000220489,0.00004214426,0.0003285252,0.8903771,0.06381813,0.00003240467,0.0004317033,0.04427294],"study_design_scores_gemma":[0.001546548,0.0001040804,0.002005801,0.0001634,0.00007685917,0.00000412394,0.0002655447,0.2987223,0.6938579,0.001375305,0.001055562,0.0008226006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6777738,0.0000994786,0.3178796,0.00009800751,0.0006885314,0.0004970421,0.0009734798,0.001829314,0.0001607453],"genre_scores_gemma":[0.9574571,0.0000309531,0.0389214,0.0002117214,0.0001680622,0.0001794742,0.002244164,0.0002225432,0.0005645402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6300398,"threshold_uncertainty_score":0.9992596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753598693076412,"score_gpt":0.2542148579473647,"score_spread":0.2266788710166006,"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."}}