{"id":"W2036943315","doi":"10.1117/12.618611","title":"Bootstrap calibration of an autocollimator, index table and sine bar ensemble for angle metrology","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Bar (unit); Sine; Calibration; Metrology; Mathematics; Physics; Optics; Geometry; Statistics","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":[0.003681714,0.0008711859,0.0009387737,0.002003993,0.0009444563,0.001135511,0.002336195,0.0008673539,0.002926182],"category_scores_gemma":[0.008251801,0.0005477815,0.0006827819,0.001520532,0.0006214364,0.001037578,0.002113119,0.00129543,0.00196537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084894,"about_ca_system_score_gemma":0.001064215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456821,"about_ca_topic_score_gemma":0.002983303,"domain_scores_codex":[0.9939798,0.0005187635,0.0001545111,0.0008533688,0.004266865,0.000226641],"domain_scores_gemma":[0.9937955,0.0007487184,0.0004848259,0.002091393,0.002683758,0.0001957749],"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":[0.0006494264,0.0005381783,0.0349189,0.0003691401,0.0002029729,0.0003272849,0.0007455487,0.04766256,0.4332992,0.009628258,0.005813403,0.4658452],"study_design_scores_gemma":[0.00007408305,0.0007820046,0.02790065,0.00007459406,0.0000959144,0.0008009097,0.0002188026,0.4216309,0.5133107,0.004086714,0.03085691,0.0001678069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09222662,0.0002003263,0.8949642,0.00008431987,0.0001680109,0.0002235155,0.0005623848,0.004238707,0.007331905],"genre_scores_gemma":[0.4470575,0.0001497833,0.5467516,0.0001064003,0.00007556107,0.0004068148,0.001128184,0.0007581657,0.003566063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003681714,"threshold_uncertainty_score":0.01947105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528071209263459,"score_gpt":0.2452110400828196,"score_spread":0.229930327990185,"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."}}