{"id":"W2988316663","doi":"10.1002/mrc.4964","title":"Application of a new method for simultaneous phase and baseline correction of NMR signals (SINC)","year":2019,"lang":"en","type":"article","venue":"Magnetic Resonance in Chemistry","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Deutsche Forschungsgemeinschaft","keywords":"Sinc function; Chemistry; Spectral line; NMR spectra database; Proton NMR; Phase (matter); Analytical Chemistry (journal); Nuclear magnetic resonance; Chromatography; Physics; Mathematics; Mathematical analysis","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":[0.002561296,0.001839915,0.001123986,0.002433764,0.0008159244,0.001300473,0.001454668,0.001669031,0.002516313],"category_scores_gemma":[0.003751858,0.0007906424,0.001054109,0.002194317,0.0009461585,0.001374861,0.001349639,0.001937502,0.001029274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007575784,"about_ca_system_score_gemma":0.001867226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495609,"about_ca_topic_score_gemma":0.004243521,"domain_scores_codex":[0.9972745,0.0004258384,0.0001169225,0.0007881768,0.001301069,0.00009355284],"domain_scores_gemma":[0.9977037,0.0006603997,0.000286614,0.0003586857,0.0009195672,0.00007099366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002490309,0.0001208752,0.001574036,0.0005772859,0.0002216512,0.0002075962,0.0002886853,0.04108029,0.3169055,0.00701628,0.003778745,0.62798],"study_design_scores_gemma":[0.00005672125,0.0002037158,0.002034476,0.00004805944,0.0001333796,0.0007577048,0.00004973068,0.719763,0.237789,0.004137538,0.03485755,0.0001690131],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003594464,0.0003138422,0.994255,0.00006861323,0.00007250222,0.00004721748,0.00005332323,0.00114014,0.000454781],"genre_scores_gemma":[0.01995921,0.0001849437,0.9783472,0.00007731623,0.00003383973,0.00007888643,0.0001596551,0.0003775216,0.0007814917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002561296,"threshold_uncertainty_score":0.01354563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007007613558517473,"score_gpt":0.3377297159399252,"score_spread":0.3307221023814077,"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."}}