{"id":"W2041163699","doi":"10.1016/j.measurement.2013.04.025","title":"Prediction of surface reconstruction uncertainties for freeform surface inspection","year":2013,"lang":"en","type":"article","venue":"Measurement","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface (topology); Surface reconstruction; Spline (mechanical); B-spline; Mathematics; Computer science; Algorithm; Geometry; Engineering; Mathematical analysis; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000459573,0.0001372166,0.000178312,0.00006162251,0.00006480364,0.000009958286,0.00006883412,0.00009278696,0.00003178785],"category_scores_gemma":[0.00004307019,0.0001325223,0.00006508656,0.0001111285,0.00004551089,0.0002605945,0.00000690748,0.00008779718,0.000005446257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338493,"about_ca_system_score_gemma":0.00001637651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005631365,"about_ca_topic_score_gemma":0.00003873534,"domain_scores_codex":[0.9990602,0.00001589535,0.0002994076,0.00014117,0.0002832574,0.000200145],"domain_scores_gemma":[0.9992841,0.00001219967,0.00006865885,0.0001648021,0.0004316635,0.00003856917],"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":[0.00002712805,0.00003935102,0.0104801,0.0001775678,0.000114256,4.581372e-8,0.000133397,0.02543398,0.9400017,0.0001763263,0.004997121,0.01841904],"study_design_scores_gemma":[0.0007983274,0.0003106052,0.01004327,0.0001053057,0.00005802449,0.000003887269,0.000298308,0.02293622,0.9579347,0.002976529,0.004307514,0.000227298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7137662,0.0007071238,0.2783518,0.00007459178,0.00135867,0.001255855,0.00001782757,0.001156637,0.003311347],"genre_scores_gemma":[0.9842344,0.0001046243,0.01542253,0.000006617583,0.00006495001,0.00008711802,0.000007591645,0.00002334206,0.0000488617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704682,"threshold_uncertainty_score":0.5404102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04463558482371879,"score_gpt":0.2131405554418001,"score_spread":0.1685049706180813,"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."}}