{"id":"W2062123859","doi":"10.1366/0003702053945985","title":"Investigation of Selected Baseline Removal Techniques as Candidates for Automated Implementation","year":2005,"lang":"en","type":"article","venue":"Applied Spectroscopy","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Baseline (sea); Computer science; Environmental science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002819258,0.0001291809,0.0001843562,0.0001430268,0.00005749808,0.00002195233,0.00005293077,0.0001095625,0.00005685054],"category_scores_gemma":[0.00001564446,0.0001312368,0.00003386066,0.0003486735,0.00001451241,0.00007912277,0.000005956445,0.0000788426,0.00001779411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303944,"about_ca_system_score_gemma":0.00004028355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007892557,"about_ca_topic_score_gemma":0.00006355607,"domain_scores_codex":[0.9991475,0.00001693459,0.0003740503,0.0001450018,0.0001319294,0.0001846355],"domain_scores_gemma":[0.9996203,0.00004505129,0.00008970916,0.0001225042,0.0000794255,0.00004299838],"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":[0.00004745627,0.000003508519,0.00004610706,0.00002772037,0.00002027885,1.519609e-7,0.00008551179,0.0002048472,0.9876098,0.0004714782,0.007553938,0.003929207],"study_design_scores_gemma":[0.0005134415,0.0001082269,0.0001212416,0.0000135108,0.00001801465,0.000005296142,0.00005501736,0.01858191,0.9749594,0.0002190817,0.005280475,0.0001244233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610705,0.00003940142,0.03340947,0.00005679458,0.0001371028,0.001229607,0.00003930004,0.002096556,0.001921207],"genre_scores_gemma":[0.9724367,0.000009238084,0.02686438,0.00003085663,0.0003233844,0.0001520779,0.0001290871,0.00003282104,0.00002142871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01837706,"threshold_uncertainty_score":0.5351682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079070597794205,"score_gpt":0.2780782205751618,"score_spread":0.2672875145972198,"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."}}