{"id":"W4392691828","doi":"10.1117/12.3002758","title":"Fabricating smooth surfaces using blurred tomography","year":2024,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Tomography; Computer vision; Computer science; Materials science; Optics; Physics","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":[0.0003944436,0.0005815976,0.0003008239,0.0006302714,0.0003209885,0.001089104,0.0006182204,0.0004758559,0.001195071],"category_scores_gemma":[0.001204208,0.0005037457,0.0003551263,0.000417583,0.0009219294,0.001014004,0.001088183,0.0006967344,0.0003916518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622116,"about_ca_system_score_gemma":0.0004310949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000517979,"about_ca_topic_score_gemma":0.0009676915,"domain_scores_codex":[0.9994183,0.00005489002,0.00002726364,0.00006339277,0.0003843902,0.00005190463],"domain_scores_gemma":[0.9991021,0.0003167463,0.0001962563,0.0002201766,0.0001267666,0.00003800534],"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":[0.00004944561,0.00002614671,0.0005218646,0.0001650981,0.00001408371,0.0003112682,0.0002564724,0.007324088,0.9354422,0.008223573,0.0003587445,0.04730705],"study_design_scores_gemma":[0.00001387858,0.0002199256,0.001045017,0.00003159912,0.0000187712,0.00133658,0.00007909418,0.04620794,0.9355113,0.002231758,0.01325193,0.00005227622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.141935,0.001217557,0.8485286,0.0002311926,0.0001401566,0.00006095173,0.00007036816,0.0009841539,0.006832053],"genre_scores_gemma":[0.5406689,0.001002384,0.4548352,0.0001764091,0.00003860427,0.0000501494,0.00009527298,0.0001597782,0.002973354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001195071,"threshold_uncertainty_score":0.003997922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714906148697462,"score_gpt":0.2356790427611735,"score_spread":0.2185299812741988,"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."}}