{"id":"W2064343291","doi":"10.1007/s00170-007-1062-4","title":"A reverse engineering methodology for rotary components from point cloud data","year":2007,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reverse engineering; Point cloud; Representation (politics); Point (geometry); Component (thermodynamics); Process (computing); Engineering design process; Computer science; Engineering; Cloud computing; Engineering drawing; Systems engineering; Mechanical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001283821,0.001298808,0.001181029,0.003620578,0.0008453735,0.002256868,0.001844854,0.001084179,0.003008402],"category_scores_gemma":[0.004999224,0.001062264,0.002628086,0.00265007,0.0007058935,0.0020533,0.00186231,0.001683139,0.002997519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005753518,"about_ca_system_score_gemma":0.00195714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116067,"about_ca_topic_score_gemma":0.01451188,"domain_scores_codex":[0.9983504,0.0001913646,0.0001355173,0.0003430087,0.0008702024,0.0001094661],"domain_scores_gemma":[0.9968076,0.0009250724,0.000285398,0.0008761371,0.001055785,0.00005001337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001219103,0.0001407927,0.002446613,0.0004005249,0.0001711486,0.000538616,0.0002430602,0.08476064,0.04491245,0.01235673,0.00568522,0.8482223],"study_design_scores_gemma":[0.00003419658,0.00009276449,0.001543598,0.00005098119,0.00009666222,0.0007530923,0.0002117188,0.9261283,0.04077471,0.01615835,0.01408023,0.00007538262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00245916,0.00008768454,0.9940947,0.00002861103,0.00001515081,0.00008386793,0.0002434808,0.002709381,0.0002779954],"genre_scores_gemma":[0.03271999,0.0001606959,0.9641914,0.00002356565,0.0000121387,0.00009409329,0.001574233,0.0003356454,0.0008881966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0116067,"threshold_uncertainty_score":0.02307826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699500516919584,"score_gpt":0.2827025977971852,"score_spread":0.2457075926279894,"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."}}