{"id":"W2362185658","doi":"","title":"Research on Detection of NOGE and Its Derivatives in Food Can Based on HLPC","year":2009,"lang":"en","type":"article","venue":"Packaging Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Reproducibility; Relative standard deviation; Chromatography; Correlation coefficient; Linear correlation; Standard deviation; Linear relationship; Coefficient of variation; Detection limit; Chemistry; Correlative; Mathematics; Linear range; Statistics","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":[0.0003391496,0.0004852356,0.0002036494,0.0003428949,0.0002157158,0.0002124804,0.0001897601,0.0002877364,0.0008742015],"category_scores_gemma":[0.0004500193,0.0001719312,0.0001896181,0.0002740277,0.0002910635,0.0004106919,0.000192885,0.0003234723,0.000309045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843838,"about_ca_system_score_gemma":0.0002212798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288286,"about_ca_topic_score_gemma":0.001829377,"domain_scores_codex":[0.9998287,0.00004456146,0.000007378149,0.00004177209,0.00005969559,0.0000178782],"domain_scores_gemma":[0.9998534,0.00004780942,0.0000216298,0.00001378073,0.00005008001,0.00001337169],"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":[0.00005749176,0.00001501813,0.0003717071,0.0000933179,0.000009286836,0.00008535496,0.00002580031,0.000106839,0.9954466,0.00008867085,0.00002895677,0.003670928],"study_design_scores_gemma":[0.000004592588,0.000243117,0.001620292,0.000007230256,0.00002016125,0.0001688808,0.00002464723,0.000627753,0.9954237,0.00004408496,0.00180827,0.000007112285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621118,0.003692427,0.02767303,0.0001219361,0.0000358643,0.0001172581,0.000236757,0.0001193775,0.005891586],"genre_scores_gemma":[0.9395292,0.002595288,0.05005009,0.0001504988,0.00001559682,0.00007757123,0.0003564753,0.00003903823,0.007186311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001288286,"threshold_uncertainty_score":0.002924442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306358419151871,"score_gpt":0.2489048018603973,"score_spread":0.2182689599452102,"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."}}