{"id":"W2033920135","doi":"10.1117/12.738965","title":"<title>State-of-the-art imaging Fourier-transform spectrometer with CCD camera</title>","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Pixel; Computer science; Sampling (signal processing); Spectrometer; Calibration; Detector; Fourier transform; Subpixel rendering; Jitter; Optics; Computer vision; Artificial intelligence; Physics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007189809,0.0009295882,0.0009006861,0.001746786,0.0007030693,0.002015173,0.0017935,0.001289377,0.1553589],"category_scores_gemma":[0.001082348,0.0005306365,0.000404874,0.002227808,0.0006209677,0.00259343,0.0009293279,0.001376124,0.09529382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059608,"about_ca_system_score_gemma":0.0009150482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601894,"about_ca_topic_score_gemma":0.00247788,"domain_scores_codex":[0.9991097,0.00007214182,0.0000434864,0.000176709,0.0005323674,0.00006552482],"domain_scores_gemma":[0.9991995,0.00007979724,0.00006364721,0.0002013021,0.0003882742,0.00006755822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002005133,0.00009148125,0.0004971409,0.0009300521,0.00002160252,0.0002528985,0.00005106652,0.0004702815,0.1340816,0.01363507,0.4439861,0.4057821],"study_design_scores_gemma":[0.00003164309,0.0001006221,0.000982919,0.0001019425,0.00001080964,0.0005181484,0.00003285387,0.004189644,0.09380621,0.001633284,0.8985422,0.0000496849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01464991,0.01652328,0.2587942,0.004061563,0.01018385,0.001216039,0.01659688,0.03627454,0.6416997],"genre_scores_gemma":[0.09668937,0.02033167,0.3387648,0.002381908,0.002157321,0.001038041,0.030075,0.01208946,0.4964725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1553589,"threshold_uncertainty_score":0.5197272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005372341449835085,"score_gpt":0.2183020586577401,"score_spread":0.212929717207905,"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."}}