{"id":"W2015886346","doi":"10.1366/11-06550","title":"A Small-Window Moving Average-Based Fully Automated Baseline Estimation Method for Raman Spectra","year":2012,"lang":"en","type":"article","venue":"Applied Spectroscopy","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; CMC Microsystems","keywords":"Baseline (sea); Stripping (fiber); Spectral line; Raman spectroscopy; Statistics; Algorithm; Analytical Chemistry (journal); Mathematics; Chemistry; Optics; Physics; Materials science; Chromatography","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":[0.001604638,0.0013927,0.001117332,0.001251425,0.0008264553,0.00106137,0.002411121,0.000865226,0.004132628],"category_scores_gemma":[0.00381257,0.0008257775,0.001089162,0.001010377,0.0004377922,0.001237128,0.0010822,0.001807516,0.002183183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006190605,"about_ca_system_score_gemma":0.001538302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003574687,"about_ca_topic_score_gemma":0.005671944,"domain_scores_codex":[0.9987185,0.0002583028,0.00005578396,0.000328984,0.0005781067,0.00006024998],"domain_scores_gemma":[0.9984158,0.0005712774,0.0001852087,0.0002614688,0.0005138053,0.00005241859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002565613,0.0001711252,0.0008100427,0.000277996,0.0001611742,0.00009579866,0.0001238009,0.05107754,0.1351333,0.004710841,0.004973391,0.8022085],"study_design_scores_gemma":[0.00002176328,0.0001044087,0.001069411,0.00001336618,0.00003748681,0.0001800979,0.00001928387,0.9405565,0.04816573,0.003394624,0.006338833,0.00009849879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001237774,0.00005552604,0.9965879,0.00001305243,0.00001303539,0.00002264676,0.00004449961,0.00191155,0.000114033],"genre_scores_gemma":[0.02179198,0.00006591615,0.9765878,0.00002249425,0.00001597093,0.0001142661,0.0002512649,0.0004356993,0.0007147311],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004132628,"threshold_uncertainty_score":0.013825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102411190764271,"score_gpt":0.3053327572653193,"score_spread":0.2843086453576766,"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."}}