{"id":"W3212153388","doi":"10.47062/1190.0202.01","title":"BIO-SUCCINIC ACID: AN ENVIRONMENTFRIENDLY PLATFORM CHEMICAL","year":2020,"lang":"en","type":"article","venue":"International Journal of Environment and Health Sciences","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; York University","funders":"","keywords":"Succinic acid; Chemistry; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003117573,0.00006405361,0.00008320243,0.00002929871,0.00004446983,0.00002179473,0.0001892356,0.00003073361,0.00003183065],"category_scores_gemma":[0.00001366947,0.00005116652,0.00002994685,0.00002159425,0.0001013643,0.00001825439,0.000049883,0.00006354744,0.000002876953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001407882,"about_ca_system_score_gemma":0.00003029681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003440794,"about_ca_topic_score_gemma":3.917024e-7,"domain_scores_codex":[0.9993217,0.00001013478,0.0002120248,0.0001529145,0.0002036893,0.00009951457],"domain_scores_gemma":[0.9996758,0.000001179253,0.0001405631,0.00004104045,0.000008760968,0.0001326736],"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":[0.00004399752,0.00004593992,0.002706229,0.000004623597,0.00002142148,0.000001280078,0.0001629835,0.0002051479,0.9795126,0.00008710247,0.0004820547,0.01672664],"study_design_scores_gemma":[0.001528016,0.003741336,0.02748812,0.0000414257,0.00002204157,0.0002764632,0.0006496417,0.000482762,0.6716301,0.0001570911,0.2935981,0.000384897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899033,0.001445556,0.001281792,0.007055789,0.0002354361,0.00003665159,0.0000042903,0.000002142416,0.00003502284],"genre_scores_gemma":[0.9932816,0.002355876,0.002598114,0.0009706559,0.0007700342,4.964513e-7,0.000007333879,0.00000341536,0.00001248371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3078825,"threshold_uncertainty_score":0.208651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837154088249134,"score_gpt":0.2863489372033421,"score_spread":0.2579773963208508,"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."}}