{"id":"W4389584953","doi":"10.17118/11143/21051","title":"A novel setup for in-process geometric inspection of 3D printed parts viastructured-light 3D scanning","year":2023,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Process (computing); 3d scanning; Computer science; 3d printed; Structured light; 3D printing; Solid modeling; Engineering drawing; Computer graphics (images); Computer vision; Artificial intelligence; Engineering; Mechanical engineering; Manufacturing engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005468514,0.0007628556,0.0007262055,0.001194793,0.0003541353,0.0007976852,0.001550513,0.001483628,0.008128022],"category_scores_gemma":[0.001039932,0.0007651362,0.0007641668,0.0004967445,0.0005923547,0.0007710166,0.001861367,0.001199496,0.00202989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004454732,"about_ca_system_score_gemma":0.0009078312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004806705,"about_ca_topic_score_gemma":0.0008455825,"domain_scores_codex":[0.9989523,0.00007955945,0.00004958857,0.0001933382,0.0006400519,0.00008520525],"domain_scores_gemma":[0.9988739,0.0002821229,0.0001272416,0.0004102571,0.0002082511,0.00009818788],"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":[0.0001970638,0.00015728,0.001878286,0.0004602287,0.00005493074,0.000657098,0.0002764132,0.00509309,0.8735853,0.004083609,0.004933749,0.108623],"study_design_scores_gemma":[0.0001281007,0.0009341241,0.01272824,0.0001177491,0.00009238686,0.005721003,0.000145129,0.1336829,0.7795397,0.003195911,0.06336051,0.0003543335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03908417,0.0002506972,0.9462132,0.0002271742,0.0002060241,0.0002896356,0.0006559733,0.008884134,0.004189024],"genre_scores_gemma":[0.1858109,0.0001946276,0.8092794,0.0002026408,0.00004938785,0.0004249951,0.0005625553,0.0004843401,0.002991124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008128022,"threshold_uncertainty_score":0.02719092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569803585108611,"score_gpt":0.2666646300403979,"score_spread":0.2409665941893118,"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."}}