{"id":"W2090725078","doi":"10.1366/0003702042641236","title":"Accuracy and Precision of Manual Baseline Determination","year":2004,"lang":"en","type":"article","venue":"Applied Spectroscopy","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Baseline (sea); Accuracy and precision; Computer science; Noise (video); SIGNAL (programming language); Statistics; Mathematics; Artificial intelligence; 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":[0.0162083,0.0009849074,0.001069944,0.001941272,0.001132671,0.001955366,0.001886164,0.001535388,0.00228132],"category_scores_gemma":[0.04790653,0.0007224232,0.0008097269,0.001235998,0.001360811,0.001244842,0.001842012,0.0009680617,0.002083298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000494587,"about_ca_system_score_gemma":0.0007181424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526205,"about_ca_topic_score_gemma":0.002800295,"domain_scores_codex":[0.9721259,0.008209609,0.001656117,0.005348842,0.0120755,0.0005839868],"domain_scores_gemma":[0.9647421,0.01694395,0.002564026,0.007234512,0.008245758,0.0002696494],"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":[0.002545617,0.0003557189,0.03826622,0.001515218,0.000440515,0.0002045413,0.003228992,0.004390982,0.5699525,0.0023805,0.002803708,0.3739155],"study_design_scores_gemma":[0.0001399196,0.003067499,0.1677131,0.0005523181,0.0005545869,0.002219115,0.001583258,0.02886292,0.762563,0.00527275,0.02711887,0.0003526667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.383,0.007338602,0.591369,0.0004256792,0.0007748817,0.0006429845,0.001255948,0.003942215,0.01125061],"genre_scores_gemma":[0.6558483,0.001756191,0.3345369,0.0003490108,0.0001752829,0.0005397976,0.001139076,0.0009562901,0.00469914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0162083,"threshold_uncertainty_score":0.08571875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00954661599449363,"score_gpt":0.3259915098361473,"score_spread":0.3164448938416536,"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."}}