{"id":"W6987084779","doi":"","title":"Screening Fresh Oranges With UV\\nStudy Pinpoints New Value of Detection Tactic","year":2013,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorting; Value (mathematics); Quarter (Canadian coin); Culprit; Visibility","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001559055,0.0008212493,0.0008501371,0.001062034,0.0004518231,0.002679027,0.001169684,0.001934588,0.01069192],"category_scores_gemma":[0.002429065,0.0006386538,0.0007231833,0.0004100325,0.0009741366,0.001848741,0.001296727,0.002143217,0.004762571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007297648,"about_ca_system_score_gemma":0.0004585309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001645213,"about_ca_topic_score_gemma":0.005607425,"domain_scores_codex":[0.9977542,0.0004030208,0.00009438134,0.000487785,0.001080305,0.0001802933],"domain_scores_gemma":[0.9972864,0.0008862687,0.000210552,0.0005108957,0.0008378405,0.0002680723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000612839,0.0002396098,0.006807205,0.0003536214,0.00007012975,0.0003225401,0.000260025,0.0001865371,0.8676494,0.001869443,0.01288081,0.1087478],"study_design_scores_gemma":[0.00007677246,0.002133996,0.01953051,0.0002720997,0.000172214,0.00347807,0.0008167941,0.002722067,0.8020374,0.002561507,0.1660365,0.000162052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5231149,0.03302061,0.2415001,0.03801239,0.007311644,0.0007070156,0.003093037,0.01472826,0.138512],"genre_scores_gemma":[0.6699826,0.01780664,0.210822,0.01623669,0.001173915,0.0002801339,0.003354009,0.001062294,0.07928166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069192,"threshold_uncertainty_score":0.03576803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006154972151602357,"score_gpt":0.1848868243308147,"score_spread":0.1787318521792123,"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."}}