{"id":"W4400002881","doi":"10.18280/ijdne.190334","title":"Characterizing the Chemical Composition of Eco-Enzymes Derived from Vegetable and Fruit Sources","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemical composition; Composition (language); Food science; Mathematics; Biology; Biotechnology; Chemistry; Organic chemistry; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001293195,0.0004795568,0.0002589246,0.0008985166,0.00012609,0.0004956916,0.0001326499,0.000300733,0.0006787446],"category_scores_gemma":[0.0003073833,0.0001622296,0.0003773509,0.0009439142,0.0001693379,0.0003572253,0.0001904987,0.0003177414,0.0003453707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171626,"about_ca_system_score_gemma":0.0001952604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009681013,"about_ca_topic_score_gemma":0.001644657,"domain_scores_codex":[0.9998009,0.00001794329,0.00001586417,0.00004736445,0.00007590502,0.00004210749],"domain_scores_gemma":[0.9997972,0.00003260842,0.00004748707,0.00001206761,0.00008083363,0.00002993844],"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":[0.00005689794,0.00001547422,0.001898763,0.00007072357,0.00001103099,0.00009183768,0.00002049004,0.00003801986,0.9959424,0.00001765978,0.000008986195,0.001827745],"study_design_scores_gemma":[0.000003876038,0.0002309842,0.04704446,0.0000293931,0.00003699305,0.0003598933,0.0001541355,0.0002371371,0.9499875,0.00003252081,0.001871015,0.00001211716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905418,0.002433188,0.004056789,0.00003024651,0.00001592203,0.00004572769,0.001298285,0.00002295547,0.001555072],"genre_scores_gemma":[0.9809684,0.002991599,0.007176489,0.00007460778,0.00001026075,0.0000722933,0.004321679,0.00004285054,0.004341749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009681013,"threshold_uncertainty_score":0.002270639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007408665213354625,"score_gpt":0.2120113246575617,"score_spread":0.2046026594442071,"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."}}