{"id":"W2964813049","doi":"10.11159/icbb19.120","title":"Genomic and Molecular Mechanisms for Efficient Biodegradation of Aromatic Dye in Presence of Lignin","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Dye analysis and toxicity","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodegradation; Lignin; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001378034,0.0001100224,0.0002995184,0.0002018388,0.00001496606,0.00001125077,0.0004780212,0.00007683175,0.000003463318],"category_scores_gemma":[0.0002067835,0.0000800779,0.00007729221,0.000308197,0.0001106312,0.00003671381,0.0001896717,0.00009006949,3.245309e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002057738,"about_ca_system_score_gemma":0.00001478135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002391889,"about_ca_topic_score_gemma":0.00001055008,"domain_scores_codex":[0.9992023,0.000001475873,0.0003054075,0.0002008197,0.0001675925,0.0001224197],"domain_scores_gemma":[0.9992376,0.00007188521,0.0004403065,0.0001885763,0.00005132045,0.00001030581],"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":[0.00002982894,0.00006581012,0.005252501,0.000353489,0.00003663276,5.623595e-8,0.0000316736,0.0000634822,0.9734513,0.018608,0.00008116223,0.002026105],"study_design_scores_gemma":[0.000340061,0.00004198896,0.0003671766,0.0004491958,0.0000329758,3.2341e-7,0.0004610503,0.002934893,0.9766305,0.01864594,0.00002112645,0.00007475853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998228,0.000174764,0.00001287393,0.0004408016,0.00002451746,0.000227171,0.000006368711,0.00004369974,0.0008418706],"genre_scores_gemma":[0.9978772,0.0000220997,0.00159853,0.000005032095,0.000001567866,0.00001730311,5.067744e-7,0.000008075285,0.0004696841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004885325,"threshold_uncertainty_score":0.3265482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008403814506401553,"score_gpt":0.2229740730850208,"score_spread":0.2145702585786192,"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."}}