{"id":"W3193699806","doi":"10.1364/ol.438429","title":"On-chip monolithic Fourier transform spectrometers assisted by cGAN spectral prediction","year":2021,"lang":"en","type":"article","venue":"Optics Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Optics; Spectrometer; Fourier transform; Noise (video); Materials science; Optical path; Photonics; Chip; Astronomical interferometer; Computer science; Interferometry; Physics; Optoelectronics; Telecommunications; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004835637,0.0005309479,0.0002963954,0.0001430982,0.0002408889,0.0003338559,0.0008492469,0.0005467563,0.001248184],"category_scores_gemma":[0.0006657296,0.0002561808,0.000230852,0.0001673878,0.0006030995,0.0008812077,0.0006084719,0.0009037601,0.000352448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005505951,"about_ca_system_score_gemma":0.0006231067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542565,"about_ca_topic_score_gemma":0.002643202,"domain_scores_codex":[0.9997777,0.00002923353,0.000005704201,0.00006277911,0.00009861998,0.00002596035],"domain_scores_gemma":[0.999777,0.00007840867,0.00004120616,0.00005493534,0.00003290716,0.0000154781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005022034,0.0003018534,0.00246181,0.0001228807,0.00005787576,0.0003356866,0.000153105,0.4585547,0.4129825,0.01851183,0.002859462,0.1031559],"study_design_scores_gemma":[0.000005223802,0.00002607548,0.0001207442,0.000001427213,0.00000237201,0.00001938329,0.00000333636,0.957123,0.04151091,0.0007195094,0.0004602691,0.000007822406],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2172365,0.0001955902,0.7735045,0.0004079191,0.0001184641,0.00008551402,0.0002057959,0.003369277,0.004876459],"genre_scores_gemma":[0.8764159,0.00007804896,0.1215016,0.0001086523,0.00001635301,0.00004878118,0.0001306369,0.00006593463,0.001634026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001542565,"threshold_uncertainty_score":0.004175603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007472919220261816,"score_gpt":0.1931928764452454,"score_spread":0.1857199572249836,"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."}}