{"id":"W2741554081","doi":"","title":"Traceable 3D Imaging Metrology: Evaluation of 3D Digitizing Techniques in a Dedicated Metrology Laboratory","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metrology; Laser tracker; Triangulation; Computer vision; Volume (thermodynamics); Computer science; Artificial intelligence; Laser; Optics; Geography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005711859,0.0001243416,0.0002397667,0.0005450685,0.00003204571,0.0000359817,0.0005182978,0.0001026193,0.00006520463],"category_scores_gemma":[0.0005126033,0.0001173368,0.00003214072,0.0007587887,0.0001125399,0.0005558491,0.0001095782,0.0002215477,0.00000497784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557261,"about_ca_system_score_gemma":0.0001140074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000225959,"about_ca_topic_score_gemma":0.00002751701,"domain_scores_codex":[0.9981924,0.0001969872,0.0004303192,0.0003107844,0.0005065589,0.0003629443],"domain_scores_gemma":[0.998818,0.0001342537,0.0001384291,0.0003304866,0.0005217609,0.00005710873],"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":[0.00003176794,0.0001863612,0.01895316,0.00001619924,0.00001851612,0.00001071842,0.0001954479,0.000002690736,0.6668264,0.01889144,0.0002601431,0.2946071],"study_design_scores_gemma":[0.0005845932,0.0003970381,0.00861767,0.00009191076,0.00003903746,0.000006837391,0.000042754,0.04867472,0.9114905,0.02883002,0.0009487477,0.0002761756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3422538,0.0003180277,0.5404925,0.001080949,0.000172301,0.0005977199,0.000002307843,0.0006931626,0.1143893],"genre_scores_gemma":[0.8641184,0.000007859018,0.1356074,0.0002029762,0.0000206745,0.00003137162,0.000001167265,0.000006799889,0.000003388773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5218646,"threshold_uncertainty_score":0.4784856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661426508720359,"score_gpt":0.3117311082180663,"score_spread":0.2751168431308627,"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."}}