{"id":"W2088304670","doi":"10.1007/s00170-004-2133-4","title":"Shape recovery and viewpoint planning for reverse engineering","year":2005,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reverse engineering; Visibility; Object (grammar); Computer vision; Artificial intelligence; Computer science; Surface reconstruction; Engineering drawing; Surface (topology); Mathematics; Engineering; Geometry; Geography","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":[0.0004219627,0.0007527149,0.0007919483,0.0008170895,0.0004301735,0.0007579182,0.001082468,0.001040501,0.004306318],"category_scores_gemma":[0.001585141,0.0008250932,0.0009469471,0.0007674946,0.0007325442,0.001109534,0.001282771,0.001430895,0.001270595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004230427,"about_ca_system_score_gemma":0.0007931287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004752718,"about_ca_topic_score_gemma":0.006180568,"domain_scores_codex":[0.999571,0.00007515769,0.00001585516,0.0001136269,0.0001895696,0.00003476033],"domain_scores_gemma":[0.9995023,0.0001962776,0.00003809809,0.0001760474,0.0000681516,0.00001904722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002850672,0.00006323439,0.0006761909,0.0001956322,0.00006255971,0.0002421444,0.0001515116,0.2921316,0.05020876,0.03835522,0.005561582,0.6120665],"study_design_scores_gemma":[0.00001566098,0.00005008627,0.0002200876,0.00001167337,0.00001476337,0.0002269932,0.00002883477,0.9604463,0.01585612,0.0183396,0.004770041,0.00001991867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004200652,0.0001552363,0.9937358,0.00005943891,0.00001955701,0.00002134638,0.00004758819,0.0004966129,0.001263673],"genre_scores_gemma":[0.1520738,0.0003446467,0.8432096,0.00005595418,0.00002730237,0.00003659961,0.0002424085,0.0003069364,0.003702709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004752718,"threshold_uncertainty_score":0.01440609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0096526745521226,"score_gpt":0.2690964105205921,"score_spread":0.2594437359684695,"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."}}