{"id":"W2031636999","doi":"10.1021/ed1005129","title":"Understanding Fluorescence Measurements through a Guided-Inquiry and Discovery Experiment in Advanced Analytical Laboratory","year":2010,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Calibration; Calibration curve; Fluorescence; Optics; Fluorescence spectroscopy; Wavelength; Emission spectrum; Visualization; Analytical Chemistry (journal); Chemistry; Computer science; Physics; Spectral line; Artificial intelligence; Detection limit; Environmental chemistry; Chromatography","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":[0.001689787,0.0004865742,0.0005060551,0.0002542007,0.001110732,0.001762912,0.001264692,0.001747879,0.003140105],"category_scores_gemma":[0.003318007,0.000289355,0.0003947131,0.000162354,0.001909368,0.002420579,0.001608277,0.001677334,0.0006728464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006739734,"about_ca_system_score_gemma":0.0006377244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004637002,"about_ca_topic_score_gemma":0.0003723653,"domain_scores_codex":[0.9990082,0.000479571,0.00002846852,0.000187251,0.000212226,0.00008432724],"domain_scores_gemma":[0.9980715,0.001375134,0.00008347377,0.000201992,0.0001320977,0.0001358725],"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":[0.001316269,0.004425992,0.006630945,0.001002916,0.00004710861,0.002232193,0.0634084,0.01521315,0.5011761,0.1875727,0.005949813,0.2110244],"study_design_scores_gemma":[0.0005521547,0.00886866,0.008633637,0.0005048229,0.0001146933,0.00446148,0.02240236,0.1157709,0.4726681,0.1849419,0.1805866,0.0004947071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4934285,0.000226298,0.4813032,0.003092854,0.0001071197,0.0007124643,0.00009018946,0.001061364,0.01997804],"genre_scores_gemma":[0.6170529,0.0002163162,0.3715327,0.0005553417,0.00002595382,0.000482677,0.00005415144,0.00007086483,0.01000906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003140105,"threshold_uncertainty_score":0.01050466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347849779753975,"score_gpt":0.3891293567212055,"score_spread":0.254344378745808,"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."}}