{"id":"W2328918782","doi":"10.1117/12.890772","title":"Front Matter: Volume 7903","year":2011,"lang":"en","type":"paratext","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Coatings and Gratings","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas Health Science Center at San Antonio; National Taiwan University; Università degli Studi di Genova; University of Sydney; University of Wisconsin-Madison; McGill University; University of Pittsburgh; Swinburne University of Technology; Colorado State University; Harvard University; Imperial College London; California Institute of Technology; Emory University; Massachusetts Institute of Technology","keywords":"Front (military); Volume (thermodynamics); Computer science; Materials science; Thermodynamics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001192627,0.0008751283,0.001283391,0.0001715008,0.0001913373,0.0004104702,0.002617004,0.0008055341,0.003574039],"category_scores_gemma":[0.0005993192,0.0007084452,0.001439702,0.0002843475,0.0005897058,0.0007623349,0.0006392496,0.0009172281,0.001507533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003456568,"about_ca_system_score_gemma":0.0001265971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000727041,"about_ca_topic_score_gemma":3.293558e-7,"domain_scores_codex":[0.9950062,3.391422e-8,0.001674447,0.001012566,0.001357296,0.0009494281],"domain_scores_gemma":[0.9948834,0.0001871195,0.001453135,0.0001576139,0.003006272,0.000312526],"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":[0.0001149988,0.0001886999,0.00006465666,0.00144666,0.0002991025,1.57394e-7,0.0003446144,0.00002111196,0.5575594,0.06493939,0.3748692,0.0001519482],"study_design_scores_gemma":[0.00210075,0.001527659,0.0003371595,0.00278664,0.0008921983,0.00005636794,0.00180024,0.005490995,0.5345185,0.002190738,0.4458483,0.002450457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8776025,0.0003755522,0.00003204558,0.001550481,0.001683741,0.0009052653,0.000459306,0.0000993258,0.1172918],"genre_scores_gemma":[0.05791186,0.00100725,0.7059736,0.001657479,0.007317071,0.001771091,0.0002832193,0.001043191,0.2230353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8196906,"threshold_uncertainty_score":0.9995367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281537296137889,"score_gpt":0.2299610522484069,"score_spread":0.217145679287028,"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."}}