{"id":"W4225850915","doi":"10.1364/prj.473686","title":"Optical wavelength meter with machine learning enhanced precision","year":2023,"lang":"en","type":"article","venue":"Photonics Research","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Interferometry; Noise (video); Photonics; Optics; Computer science; Cartesian coordinate system; Physics; Artificial intelligence; Mathematics; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0007531342,0.0001203256,0.0001523138,0.0002322848,0.0002413867,0.0001434955,0.0002450547,0.00003939541,0.0003518199],"category_scores_gemma":[0.00002758368,0.00009113646,0.00007409938,0.0009942707,0.0001456267,0.0001377029,0.0002125367,0.000669384,0.0005526058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001689449,"about_ca_system_score_gemma":0.00006894144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005723622,"about_ca_topic_score_gemma":0.000005734075,"domain_scores_codex":[0.998358,0.00008466656,0.000135087,0.0003428405,0.0004577612,0.0006216876],"domain_scores_gemma":[0.9991304,0.0003157522,0.00002276738,0.0002516476,0.000150677,0.0001287445],"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":[0.00157282,0.00116406,0.02033729,0.0001185557,0.0005672656,0.00009605797,0.00269925,0.0009214593,0.3559106,0.05384403,0.00376072,0.5590079],"study_design_scores_gemma":[0.00194015,0.001338103,0.00204738,0.0001302342,0.0000195151,0.000003161962,0.001024173,0.01855734,0.9053891,0.01204863,0.0569425,0.000559737],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8894491,0.00003154199,0.001127307,0.0000589327,0.00004219177,0.0002671702,0.00002412679,0.0000831158,0.1089165],"genre_scores_gemma":[0.993725,0.00002978031,0.001301738,0.000006535525,0.00002631909,0.00007737583,0.00009495366,0.0000285997,0.00470972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5584481,"threshold_uncertainty_score":0.7102814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387409835952576,"score_gpt":0.360101313369112,"score_spread":0.3162272150095862,"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."}}