{"id":"W2608701172","doi":"","title":"Metric for Automated Detection and Identification of 3D CAD Elements in 3D Scanned Data","year":2007,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"CAD; Point cloud; Computer science; Identification (biology); Metric (unit); Computer Aided Design; Point (geometry); Data mining; Engineering drawing; Artificial intelligence; Engineering","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":[0.001795644,0.001186359,0.001183865,0.005047701,0.0006103721,0.001863732,0.002290032,0.001218567,0.002966764],"category_scores_gemma":[0.008116148,0.0004612594,0.0006082968,0.00344797,0.0008484226,0.002008189,0.002339213,0.0006985618,0.002097461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007087397,"about_ca_system_score_gemma":0.001303855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538623,"about_ca_topic_score_gemma":0.002221595,"domain_scores_codex":[0.995662,0.0007957,0.000365496,0.0004708555,0.002541579,0.0001643853],"domain_scores_gemma":[0.9967138,0.0008866083,0.0003945791,0.0005876599,0.001321708,0.00009561599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003505394,0.0001583634,0.007259411,0.0007014559,0.0001059496,0.0002512625,0.0002548323,0.02635628,0.08781568,0.02613794,0.01038451,0.8402238],"study_design_scores_gemma":[0.00006249177,0.0005242076,0.01410192,0.0001081681,0.00005421685,0.001239563,0.0002673558,0.8088248,0.1237877,0.01290281,0.0379644,0.0001623376],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009363559,0.0002130264,0.986594,0.00005619169,0.00005728959,0.0001412193,0.0003398651,0.002206426,0.001028416],"genre_scores_gemma":[0.1059563,0.0001891503,0.8911265,0.00004269722,0.00002872245,0.0003546852,0.001240815,0.0001733714,0.0008878071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005047701,"threshold_uncertainty_score":0.009924829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0412971160312588,"score_gpt":0.2854867710980761,"score_spread":0.2441896550668173,"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."}}