{"id":"W2325139961","doi":"10.1021/jf5043618","title":"Authenticity Analysis of Pear Juice Employing Chromatographic Fingerprinting","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PEAR; Chemistry; Chromatography; Arbutin; Sucrose; Sugar; Fructose; Sorbitol; Gas chromatography; Orange juice; Food science; Detection limit; Flame ionization detector; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002558397,0.0001270649,0.0004775446,0.00008016655,0.00007565776,0.00004123066,0.000133136,0.0001071971,0.00001122193],"category_scores_gemma":[0.0001127142,0.000076944,0.0004363079,0.0005507566,0.0000703667,0.00007085357,0.00004218881,0.0002249091,1.047223e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001430977,"about_ca_system_score_gemma":0.000002789857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280961,"about_ca_topic_score_gemma":0.000002584161,"domain_scores_codex":[0.9989653,0.00002842678,0.0005028087,0.0001321621,0.0002300096,0.0001412722],"domain_scores_gemma":[0.9989123,0.00006206484,0.0005986142,0.00009966681,0.000237574,0.00008971732],"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":[0.00001564385,0.00005560369,0.008468701,0.00009405954,0.0007104985,3.520987e-7,0.0001985562,0.00001603916,0.9894088,0.00001182597,0.0001211273,0.0008988292],"study_design_scores_gemma":[0.0001737896,0.0001340912,0.1353329,0.0001704016,0.002040025,0.00004800294,0.0002464717,0.0003764268,0.861069,0.0001808098,0.00006661632,0.0001614285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990146,0.0002464271,0.00009405017,0.0003071339,0.00003112295,0.00001548038,0.000002045328,0.00002021693,0.0002689151],"genre_scores_gemma":[0.9984577,0.00001853195,0.001340889,0.00003126346,0.0001304753,1.753454e-7,0.000003969256,0.000004263823,0.00001277992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1283398,"threshold_uncertainty_score":0.3137685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007546370175888733,"score_gpt":0.2116802612307228,"score_spread":0.2041338910548341,"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."}}