{"id":"W3010244043","doi":"10.1364/ol.387283","title":"Dispersion measurement assisted by a stimulated parametric process","year":2020,"lang":"en","type":"article","venue":"Optics Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Astronomical interferometer; Optics; Interferometry; Dispersion (optics); Optical path length; Optical path; Detector; Parametric statistics; Physics; Nonlinear system; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005979698,0.0001352232,0.0001438336,0.00003394157,0.00003300206,0.00004424783,0.0001408009,0.00005189508,0.0000274325],"category_scores_gemma":[0.00006188876,0.00012594,0.00004271391,0.0003943969,0.00002258726,0.00007679296,0.00001540711,0.0001611882,0.00007449291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006646429,"about_ca_system_score_gemma":0.000007424343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000196727,"about_ca_topic_score_gemma":2.959096e-7,"domain_scores_codex":[0.9991058,0.000009754422,0.0001554591,0.0001608966,0.0003387306,0.0002294106],"domain_scores_gemma":[0.999661,0.0000241831,0.00001813702,0.00009863724,0.00003455055,0.0001635273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006671798,0.0001390631,0.0006214583,0.0007634499,0.0003738308,0.0000692933,0.0007418769,0.2727689,0.6927197,0.0001326435,0.02683692,0.004766187],"study_design_scores_gemma":[0.0004998131,0.00004581369,0.0005426172,0.00003594383,0.00005280234,0.000001461394,0.00003624258,0.9794608,0.01493716,0.00000474967,0.004094325,0.0002882988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753065,0.0005212806,0.01585293,0.003931296,0.0001695488,0.0002424137,0.00001389056,0.0004764987,0.00348562],"genre_scores_gemma":[0.9970397,0.00002642636,0.0008749143,0.001979933,0.00002958132,0.000007901899,0.00001217427,0.00002558976,0.000003792062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7066919,"threshold_uncertainty_score":0.5135684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303845551167675,"score_gpt":0.2166370675458988,"score_spread":0.193598612034222,"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."}}