{"id":"W2058161958","doi":"10.1117/12.472703","title":"Automated laser trimming for ultralow error function GFF","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TeraXion (Canada)","funders":"","keywords":"Optical amplifier; Computer science; Trimming; Electronic engineering; Optics; Wavelength-division multiplexing; Laser; Physics; Wavelength; Engineering","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":[0.0005158597,0.0003809826,0.0004583932,0.0001130361,0.00009274419,0.0001225053,0.0005361204,0.0002632064,0.00002365015],"category_scores_gemma":[0.0006120175,0.0003277337,0.000678919,0.0003500089,0.0001257283,0.0006002788,0.00002705966,0.0002767516,0.000003120854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563407,"about_ca_system_score_gemma":0.00002386239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002964196,"about_ca_topic_score_gemma":1.432859e-7,"domain_scores_codex":[0.9979501,1.446179e-8,0.0007029563,0.0003622189,0.0004644385,0.0005203151],"domain_scores_gemma":[0.9983532,0.0002225038,0.0001853674,0.00006198935,0.001021524,0.0001553834],"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":[0.00007573208,0.00006619035,0.0001489778,0.0008254811,0.0005509152,6.070639e-8,0.0000938526,0.001938054,0.7647632,0.2241205,0.007274066,0.0001430066],"study_design_scores_gemma":[0.002471342,0.0004498672,0.0004785891,0.0003794414,0.0004324258,0.00001389479,0.001671641,0.3149988,0.6542622,0.002475356,0.02157227,0.0007940975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944512,0.0001749391,0.0002154044,0.0003015304,0.0007271108,0.0006797987,0.00006600562,0.0004950624,0.002889008],"genre_scores_gemma":[0.878714,0.00008173406,0.1198513,0.0001243321,0.0004410404,0.0003376925,0.00002467132,0.0001521579,0.0002730341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3130608,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290276868834463,"score_gpt":0.2259908449407722,"score_spread":0.2130880762524276,"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."}}