{"id":"W2002704692","doi":"10.1364/ao.43.004965","title":"High-resolution tunable mid-infrared spectrometer based on difference-frequency generation in AgGaS_2","year":2004,"lang":"en","type":"article","venue":"Applied Optics","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optics; Spectrometer; Materials science; Infrared; Rhodamine 6G; Laser linewidth; Laser; Crystal (programming language); Optoelectronics; Physics","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":[0.00008053857,0.000228048,0.0002054777,0.000122926,0.0001335289,0.00006216823,0.0002183989,0.0001908505,0.0004658395],"category_scores_gemma":[0.00002033339,0.0002383134,0.00005323462,0.0003117859,0.00005275807,0.00004743895,0.00002325627,0.000304411,0.0001276047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512879,"about_ca_system_score_gemma":0.0001046021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001205457,"about_ca_topic_score_gemma":0.00006450618,"domain_scores_codex":[0.9985972,0.000007527628,0.0003205387,0.0004248075,0.0002643164,0.0003855817],"domain_scores_gemma":[0.9991504,0.00004430617,0.00009593066,0.0005889463,0.00003098463,0.00008942084],"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":[0.00004646817,0.0004344101,0.0001041871,0.00002932182,0.00001289248,0.000006557637,0.00009966862,0.03516944,0.866116,0.09752993,0.0001385862,0.0003125092],"study_design_scores_gemma":[0.002310575,0.00007243954,0.0007504165,0.00003204607,0.00003546129,0.00000176215,0.00005955707,0.02156728,0.9358733,0.03864498,0.000239936,0.0004122604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9060621,0.00003064264,0.02102736,0.0004510261,0.00008264004,0.0002963796,0.00003392474,0.0001910545,0.07182491],"genre_scores_gemma":[0.9702892,0.00002113048,0.02806675,0.0003150988,0.0002595111,0.0002728583,0.000394624,0.00003323517,0.0003475967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07147731,"threshold_uncertainty_score":0.9718137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409088276558735,"score_gpt":0.2292258120439854,"score_spread":0.2151349292783981,"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."}}