{"id":"W1221049049","doi":"10.1117/12.2196441","title":"Disruptive advancement in precision lens mounting","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced optical system design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Lens (geology); Computer science; Drop (telecommunication); Optics; Manufacturing cost; Drop test; Materials science; Mechanical engineering; Engineering; Structural engineering; Physics; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008406595,0.0003773247,0.0005192183,0.0001383268,0.00004055272,0.00007904656,0.0007647543,0.0001970899,0.000006053796],"category_scores_gemma":[0.0008201561,0.0003290709,0.0003670461,0.0004715241,0.0001335649,0.0009733118,0.0001575765,0.0003723479,0.000004823213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005833625,"about_ca_system_score_gemma":0.00002522901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007216341,"about_ca_topic_score_gemma":4.046521e-7,"domain_scores_codex":[0.9973069,1.739989e-8,0.0009250051,0.0003892596,0.0008354832,0.0005433072],"domain_scores_gemma":[0.998219,0.0001933749,0.0002264372,0.0000708238,0.001124464,0.0001659502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001690056,0.0001708429,0.001227595,0.0008186661,0.0003481029,4.81107e-7,0.000822596,0.02265633,0.4664064,0.5041277,0.001880613,0.001371659],"study_design_scores_gemma":[0.006852503,0.001173719,0.002855667,0.002650933,0.0002788318,0.00005227608,0.00955267,0.6294978,0.3104209,0.01049745,0.02406482,0.002102404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912354,0.0002518132,0.0008636268,0.0004909733,0.0003921382,0.0007731097,0.00002601979,0.0001718287,0.005795076],"genre_scores_gemma":[0.813354,0.0001412266,0.1854607,0.00004316937,0.0004003611,0.0003060964,0.000007581672,0.0001244286,0.0001624463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6068414,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863868640511509,"score_gpt":0.2452379269472278,"score_spread":0.2265992405421128,"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."}}