{"id":"W2800822684","doi":"10.1016/j.measurement.2018.04.090","title":"Surface texture evaluation using 3D reconstruction from images by parametric anisotropic BRDF","year":2018,"lang":"en","type":"article","venue":"Measurement","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Bidirectional reflectance distribution function; Stylus; Artificial intelligence; Surface roughness; Profilometer; Computer vision; Photometric stereo; Surface finish; Optics; Computer science; Bidirectional texture function; Wavelet; Materials science; Image texture; Image processing; Physics; Reflectivity; Image (mathematics)","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":[0.0005870076,0.0008309187,0.000653624,0.001881257,0.0002166116,0.001513889,0.0003893306,0.0006744154,0.00181567],"category_scores_gemma":[0.002167619,0.0004584979,0.0005965087,0.001263837,0.0004919729,0.001161889,0.0005639865,0.0006855439,0.0005865406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342329,"about_ca_system_score_gemma":0.0004628384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465086,"about_ca_topic_score_gemma":0.001351376,"domain_scores_codex":[0.9993724,0.00008612136,0.00002869504,0.00007641756,0.000373093,0.00006322739],"domain_scores_gemma":[0.9990476,0.0002599718,0.0001149618,0.0001966255,0.0003472863,0.00003360467],"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":[0.0006496017,0.0001787784,0.006287338,0.0004171092,0.0001040532,0.0002559931,0.000318846,0.04155043,0.679675,0.002581618,0.001512966,0.2664682],"study_design_scores_gemma":[0.00004810649,0.0001611436,0.01973704,0.00003639749,0.0001016595,0.0007180722,0.0001793915,0.6647465,0.3097728,0.001577746,0.002770466,0.0001507315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3429683,0.0003885484,0.6512013,0.0001253882,0.00005462321,0.00008372417,0.000455333,0.00174416,0.002978583],"genre_scores_gemma":[0.8392801,0.0004031342,0.1587338,0.00003911256,0.00002408612,0.00004618702,0.0003798395,0.000314361,0.0007792658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001881257,"threshold_uncertainty_score":0.006074071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06012242700712891,"score_gpt":0.2615585815806702,"score_spread":0.2014361545735413,"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."}}