{"id":"W1973820022","doi":"10.1364/ao.45.005270","title":"Correction of instrument line shape in Fourier transform spectrometry using matrix inversion","year":2006,"lang":"en","type":"article","venue":"Applied Optics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Inversion (geology); Optics; Fourier transform; Spectrometer; Physics; Algorithm; Computer science; Geology","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":[0.002049573,0.001207695,0.0006605677,0.00108138,0.0006280644,0.001202574,0.001653176,0.00125696,0.001069961],"category_scores_gemma":[0.003968949,0.0005467904,0.0007473336,0.00120519,0.001056977,0.001710603,0.001248651,0.001877089,0.0009366808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006861133,"about_ca_system_score_gemma":0.001020754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008446089,"about_ca_topic_score_gemma":0.001440834,"domain_scores_codex":[0.9984481,0.0003241382,0.00005641968,0.0002216125,0.0008874381,0.00006227734],"domain_scores_gemma":[0.9989533,0.0004635825,0.0001516502,0.0001841059,0.0002233156,0.00002403054],"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":[0.0001638873,0.0001163346,0.001654206,0.0004471313,0.0001165127,0.0003888762,0.000343554,0.05988266,0.4627677,0.04993774,0.001834718,0.4223467],"study_design_scores_gemma":[0.0000319856,0.0002955832,0.001069158,0.00003646859,0.00005221942,0.001358817,0.00006760029,0.6801209,0.2798699,0.02077284,0.01618166,0.0001428701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004540273,0.0002410639,0.9943101,0.00007552367,0.00005018928,0.00001962702,0.0000186136,0.00039912,0.000345389],"genre_scores_gemma":[0.06547799,0.0006534756,0.9319361,0.0001026998,0.00007668835,0.00007573132,0.0001219526,0.0002043475,0.001350927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002049573,"threshold_uncertainty_score":0.01083934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373959672122251,"score_gpt":0.2575825540062948,"score_spread":0.2438429572850722,"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."}}