{"id":"W4244920431","doi":"10.1515/iupac.77.0062","title":"Food Chemistry","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Dye analysis and toxicity","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Chemistry; Characterization (materials science); Nanotechnology; Biochemistry; Computational biology; Biology; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001545521,0.001621532,0.00161615,0.004003169,0.0006883148,0.003276675,0.001792905,0.001400543,0.141848],"category_scores_gemma":[0.009285701,0.0005212794,0.001286324,0.008276798,0.0003735352,0.00175796,0.001789513,0.001585703,0.1309909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571179,"about_ca_system_score_gemma":0.00329124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054462,"about_ca_topic_score_gemma":0.01512989,"domain_scores_codex":[0.9978671,0.0002888495,0.0003174858,0.0007097669,0.0005974494,0.0002193119],"domain_scores_gemma":[0.9967108,0.0009608689,0.0005496755,0.0006663956,0.0008836563,0.000228601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000362932,0.00004497559,0.004350087,0.008497232,0.0002047617,0.00006950626,0.00004281773,0.0006066495,0.0005972139,0.0022378,0.938533,0.044453],"study_design_scores_gemma":[0.00008811905,0.0000181664,0.003012401,0.0005719952,0.00004431698,0.00005191478,0.00002143923,0.00009108982,0.0002915158,0.001220006,0.9945748,0.00001418377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002421794,0.00077848,0.0001667328,0.0001049568,0.00004115537,0.00002563518,0.9943898,0.0003031284,0.003947804],"genre_scores_gemma":[0.001391798,0.001063658,0.0006722832,0.0001780697,0.00001914534,0.0001085675,0.9935501,0.0001313694,0.00288506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.858152,"threshold_uncertainty_score":0.4745287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162788756705203,"score_gpt":0.3553531351600516,"score_spread":0.3437252475929996,"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."}}