{"id":"W2087375497","doi":"10.1016/j.fbio.2014.09.002","title":"Maple juice electro-activation in a three-compartmental reactor: Impact on the product pH and Redox potential","year":2014,"lang":"en","type":"article","venue":"Food Bioscience","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Agriculture and Agri-Food Canada; Ministère de l'Agriculture et de l'Alimentation; Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","keywords":"Maple; Chemistry; Redox; Central composite design; Factorial experiment; Analytical Chemistry (journal); Response surface methodology; Chromatography; Inorganic chemistry; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005183282,0.0004835618,0.0005740402,0.0001452706,0.0002747492,0.001073882,0.0008590299,0.000845386,0.001241626],"category_scores_gemma":[0.0006021211,0.0002873994,0.0004483744,0.000199688,0.0003556357,0.0007622478,0.0005174911,0.0008865108,0.0005153907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003477078,"about_ca_system_score_gemma":0.0004583269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008337089,"about_ca_topic_score_gemma":0.001142808,"domain_scores_codex":[0.9994968,0.00008744435,0.00003270057,0.0001673837,0.0001428379,0.00007287571],"domain_scores_gemma":[0.9997771,0.00008820208,0.00003593939,0.00003037851,0.00003942008,0.00002880637],"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":[0.0005801868,0.00005752544,0.0001323665,0.00006245208,0.00001237421,0.00003420261,0.00003263913,0.0001238644,0.9970371,0.00005213471,0.00003449017,0.001840903],"study_design_scores_gemma":[0.00001360627,0.0002690882,0.0005757299,0.000003436622,0.00001500869,0.00004143791,0.00001914029,0.001814107,0.9967352,0.00001599426,0.0004892829,0.000008031183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891801,0.0005210671,0.009168105,0.0001023998,0.000042623,0.0000482905,0.0001560794,0.0002027406,0.0005787363],"genre_scores_gemma":[0.990025,0.0003904869,0.007792532,0.0000411798,0.00001099508,0.00005378834,0.0001449265,0.00003562258,0.001505461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001241626,"threshold_uncertainty_score":0.004153669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00784246941432165,"score_gpt":0.2035848712201464,"score_spread":0.1957424018058248,"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."}}