{"id":"W2327055006","doi":"10.1021/ac301080h","title":"Restoration and Spectral Recovery of Mid-Infrared Chemical Images","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research","keywords":"Infrared; Chemical imaging; Optics; Chemistry; Synchrotron; Pixel; Infrared spectroscopy; Fourier transform; Fourier transform infrared spectroscopy; Image resolution; Analytical Chemistry (journal); Remote sensing; Physics; Hyperspectral imaging; Geology","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":[0.0005193684,0.0006881958,0.0004891435,0.0009035958,0.0002653322,0.0005804031,0.0009809289,0.0007269429,0.00179303],"category_scores_gemma":[0.001604575,0.0003946999,0.0006651287,0.0008848989,0.0007197956,0.0009233887,0.0006933365,0.001342112,0.001114105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004960577,"about_ca_system_score_gemma":0.0005589483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009062056,"about_ca_topic_score_gemma":0.0007437156,"domain_scores_codex":[0.9994941,0.00003921958,0.00002085791,0.0001229815,0.000249202,0.00007360821],"domain_scores_gemma":[0.999366,0.0001003905,0.0001168978,0.0001432029,0.0002462266,0.00002737184],"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":[0.0002046454,0.000105022,0.0009513309,0.000229279,0.00002992401,0.0001566549,0.0002262369,0.01406325,0.908633,0.003446621,0.0007714755,0.07118254],"study_design_scores_gemma":[0.000008471966,0.0001040385,0.002112696,0.00001592616,0.00001769676,0.0003719688,0.00007794517,0.09903819,0.8922851,0.001213573,0.004715445,0.00003892792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3652782,0.0009075519,0.6268329,0.0003128072,0.0001256823,0.00007671888,0.0003446837,0.002854947,0.003266486],"genre_scores_gemma":[0.5639954,0.001301619,0.4297031,0.000126693,0.00002740482,0.0001047112,0.000636818,0.0004608548,0.003643291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00179303,"threshold_uncertainty_score":0.005998254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056034193951922,"score_gpt":0.3051570857100156,"score_spread":0.2945967437704964,"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."}}