{"id":"W2341957501","doi":"10.1016/j.cej.2016.04.046","title":"Pilot-plant scale extraction of phenolic compounds from mango leaves using different green techniques: Kinetic and scale up study","year":2016,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Mangiferin and Mango Extracts","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"European Regional Development Fund","keywords":"Extraction (chemistry); Scale (ratio); Chemistry; Chromatography; Environmental science; Environmental chemistry; Geography","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":[0.0001039175,0.0001895535,0.0003701044,0.0001351698,0.00003136506,0.00001998919,0.00008775703,0.00008373896,0.00005069307],"category_scores_gemma":[0.0000416518,0.0001287996,0.00006613039,0.00006592055,0.0000498072,0.00008662126,0.00005566514,0.0003590838,0.000001488323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009735038,"about_ca_system_score_gemma":0.00001555215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007455691,"about_ca_topic_score_gemma":0.000003152127,"domain_scores_codex":[0.9989682,0.0000141786,0.0003493126,0.0001880686,0.0002514513,0.0002287315],"domain_scores_gemma":[0.9993427,0.00008895987,0.0001064879,0.000175017,0.00005144676,0.0002353401],"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":[0.0001208914,0.0002768293,0.004961417,0.00006660068,0.0000587414,0.00002273532,0.0001816534,0.000002580748,0.9916514,0.000003767519,0.00007162737,0.00258176],"study_design_scores_gemma":[0.002503783,0.0005119308,0.07177985,0.001085582,0.0002253713,0.001226732,0.0001047015,0.001402133,0.9204397,0.00005278055,0.0004002356,0.0002672531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986452,0.0001902668,0.01273779,0.000102139,0.000185576,0.0001898687,0.000009439835,0.00006300674,0.00006992499],"genre_scores_gemma":[0.9955981,0.00006259814,0.00372017,0.00001900203,0.0004669905,0.000005511317,0.000003438764,0.00003264027,0.00009155283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07121175,"threshold_uncertainty_score":0.5252293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143847459201139,"score_gpt":0.2572922419493932,"score_spread":0.2358537673573818,"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."}}