{"id":"W2076175212","doi":"10.3390/antiox3010099","title":"Effect of Dielectric Properties of a Solvent-Water Mixture Used in Microwave-Assisted Extraction of Antioxidants from Potato Peels","year":2014,"lang":"en","type":"article","venue":"Antioxidants","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectric; Methanol; Solvent; Extraction (chemistry); Analytical Chemistry (journal); Microwave; Chemistry; Dissipation factor; Materials science; Dielectric loss; Yield (engineering); Chromatography; Chemical engineering; Composite material; Organic chemistry","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":[0.000322214,0.0003137848,0.0002793289,0.0001776996,0.0001164644,0.0002974056,0.0001248181,0.0002070614,0.0002690874],"category_scores_gemma":[0.0006601067,0.0002072435,0.00025797,0.0003109311,0.0001686822,0.0002949431,0.0001378749,0.0003245952,0.0001074055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418794,"about_ca_system_score_gemma":0.0001053904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005114733,"about_ca_topic_score_gemma":0.0006926279,"domain_scores_codex":[0.9997956,0.00005874345,0.00001800927,0.00004534483,0.00005898872,0.00002329888],"domain_scores_gemma":[0.9997422,0.0001309234,0.00006586865,0.00001372702,0.00003267932,0.00001454205],"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":[0.0003856506,0.00002984781,0.0007532026,0.0000925945,0.0000209734,0.0000400199,0.00003540144,0.0007948277,0.9955261,0.00001599109,0.000007267323,0.002298061],"study_design_scores_gemma":[0.000007657991,0.0004425021,0.004183782,0.000009439219,0.00004456419,0.00005451226,0.00003873137,0.001985553,0.9929255,0.00001204245,0.0002886178,0.000007106191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957206,0.001125792,0.002779899,0.0000163224,0.000007657885,0.00001073539,0.00004459537,0.00001262425,0.0002817847],"genre_scores_gemma":[0.9965839,0.000934153,0.002182312,0.00001343671,0.000002611292,0.00001336129,0.00005545544,0.000006350546,0.0002083366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005114733,"threshold_uncertainty_score":0.001704037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182462017858258,"score_gpt":0.2311276340262592,"score_spread":0.2128814322404334,"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."}}