{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000264132,0.0005789025,0.0008521084,0.00006087279,0.0001152912,0.00009675841,0.0007905266,0.0007484184,0.07647071],"category_scores_gemma":[0.0003951184,0.000444296,0.0004843309,0.0001394005,0.0001371716,0.00007146485,0.0002778138,0.0006816037,0.000007068627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004168548,"about_ca_system_score_gemma":0.0005829402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004885745,"about_ca_topic_score_gemma":0.0002652713,"domain_scores_codex":[0.9969099,0.00001648362,0.0005841812,0.0007328492,0.001227632,0.0005290238],"domain_scores_gemma":[0.9973212,0.00007126689,0.000401547,0.001538547,0.0004062694,0.0002610979],"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":[0.00006694738,0.0002459167,0.000006470754,0.0004565595,0.0004698304,0.00004764065,0.000002037103,4.128741e-7,0.0007878671,0.000002087251,0.9960842,0.001830056],"study_design_scores_gemma":[0.0006808002,0.00004220917,0.00000102949,0.0003648881,0.0003194713,0.00001271273,0.00001580423,0.000002211079,0.004511548,0.0001167712,0.9933614,0.0005711543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005925758,0.0007389344,0.00002178163,0.0001996557,0.000120554,0.00003847339,0.9955819,0.00009617116,0.002609932],"genre_scores_gemma":[0.000264982,0.0007022202,0.0000102083,0.0001121658,0.002038009,0.00001119028,0.9932797,0.00005271081,0.003528822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07646364,"threshold_uncertainty_score":0.9998009,"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."}}