{"id":"W7034213730","doi":"","title":"Surface roughness estimation by 3D stereo SEM reconstruction","year":2015,"lang":"en","type":"other","venue":"Repositorio Institucional UN - Biblioteca Digital","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional de Colombia; Government of Canada; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Stylus; Pixel; Surface roughness; Surface finish; Tilt (camera); Brightness; Surface reconstruction; Surface (topology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003636575,0.00100707,0.0007915681,0.002203133,0.0002448439,0.001222112,0.0008696201,0.001154477,0.002742915],"category_scores_gemma":[0.0009172737,0.0007355658,0.001327294,0.0008867157,0.0002911463,0.0008197642,0.0008335059,0.0007184116,0.001863508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119924,"about_ca_system_score_gemma":0.0007861771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003203948,"about_ca_topic_score_gemma":0.004209131,"domain_scores_codex":[0.9993293,0.00003956275,0.00002614789,0.0001280531,0.0004059429,0.00007104751],"domain_scores_gemma":[0.9995253,0.00006910512,0.00007263597,0.0001195703,0.0001946749,0.00001868637],"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":[0.0002192619,0.0001183552,0.006315417,0.0004415187,0.0001345617,0.0006199875,0.0002051664,0.1181615,0.4857499,0.003846219,0.004867689,0.3793204],"study_design_scores_gemma":[0.00001468253,0.00009294026,0.00860501,0.00002398783,0.00004328484,0.0005847836,0.000118924,0.8972431,0.08710174,0.001712093,0.004389126,0.00007038337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05840283,0.0003068334,0.93532,0.00005803263,0.00002525485,0.00008749732,0.0004787113,0.00325615,0.002064739],"genre_scores_gemma":[0.446207,0.0007586938,0.5476714,0.00005502959,0.00001865189,0.000121362,0.001483674,0.0004414229,0.003242672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003203948,"threshold_uncertainty_score":0.009175956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391881928908712,"score_gpt":0.2466508234316486,"score_spread":0.2327320041425615,"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."}}