{"id":"W2955345547","doi":"10.1117/12.2526434","title":"Ultraprecise micromachining of retroreflective structures","year":2019,"lang":"en","type":"article","venue":"","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Retroreflector; Corner reflector; Mechanical engineering; Fabrication; Cube (algebra); Automotive industry; Point (geometry); Kinematics; Engineering drawing; Computer science; Optics; Engineering; Geometry; Aerospace engineering; Physics; Laser","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":[0.0002590246,0.0003817303,0.0002653206,0.0002387804,0.0001553423,0.0003773042,0.0006568807,0.0003237971,0.00133082],"category_scores_gemma":[0.0005429139,0.0003469596,0.0003068878,0.0001756769,0.0003219306,0.0004399532,0.0005024917,0.0007144868,0.0007153146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002944303,"about_ca_system_score_gemma":0.0003616082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003244519,"about_ca_topic_score_gemma":0.001083833,"domain_scores_codex":[0.9994584,0.00002839186,0.00002749955,0.0001366697,0.0002822368,0.00006679194],"domain_scores_gemma":[0.999385,0.0001228484,0.0001690316,0.0001608723,0.0001350785,0.00002709705],"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":[0.00003011449,0.00001253162,0.0002247566,0.0001592268,0.00000733098,0.0001404287,0.0000992925,0.001640204,0.9749413,0.001743264,0.0003312128,0.02067043],"study_design_scores_gemma":[0.00001075723,0.0003023396,0.001681817,0.00001474142,0.000007668433,0.0005041956,0.000056244,0.007556266,0.9810982,0.0004569459,0.008288956,0.00002194188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7271433,0.002702679,0.2425221,0.0001833065,0.0003477947,0.000197846,0.0003141353,0.001784905,0.02480386],"genre_scores_gemma":[0.8278257,0.0007207905,0.1669675,0.00006011421,0.00002816529,0.00008665903,0.0001823457,0.0001278008,0.004001076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00133082,"threshold_uncertainty_score":0.00445205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007009725221876823,"score_gpt":0.2006119196987378,"score_spread":0.193602194476861,"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."}}