{"id":"W2017848253","doi":"10.1117/12.591719","title":"On-chip replication of high-sag micro-optical components fabricated by direct laser writing","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Replication (statistics); Materials science; Chip; Optoelectronics; Laser; Computer science; Optics; Telecommunications; Physics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006525848,0.0004037121,0.0005665822,0.0001305594,0.00007093571,0.0001104359,0.0009844342,0.0002669402,0.00001463236],"category_scores_gemma":[0.0004843717,0.0003667891,0.0003789177,0.0003344218,0.000217036,0.0005113574,0.000145241,0.0003459811,0.000003838984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464174,"about_ca_system_score_gemma":0.00001579598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001315373,"about_ca_topic_score_gemma":8.574664e-8,"domain_scores_codex":[0.9973934,3.402535e-8,0.001008321,0.000495557,0.0006597177,0.0004429739],"domain_scores_gemma":[0.9982071,0.0001871114,0.0003606972,0.0001396121,0.0009770102,0.0001285045],"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":[0.00009023042,0.0001719682,0.00009468758,0.000642019,0.0002770055,5.197312e-8,0.00007753514,0.0005259459,0.9278184,0.06002776,0.009622511,0.0006518814],"study_design_scores_gemma":[0.0007013496,0.0001725594,0.0004085687,0.0004438138,0.00009542351,0.000006410765,0.00007281212,0.02472612,0.9705151,0.001078942,0.001418909,0.0003599997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947577,0.00008033121,0.0001359966,0.001200122,0.0001501709,0.0004962448,0.0001324154,0.0004646886,0.002582298],"genre_scores_gemma":[0.9119246,0.00006670701,0.08733341,0.00007785456,0.0002540526,0.0001274324,0.00004019952,0.0001057193,0.00007004706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08719742,"threshold_uncertainty_score":0.9998784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011723569103624,"score_gpt":0.2233316847435805,"score_spread":0.2132144490525443,"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."}}