{"id":"W4220956487","doi":"10.1016/j.foodchem.2022.132759","title":"Comparison of ultrasound and ethanol pretreatments before catalytic infrared drying on physicochemical properties, drying, and contamination of Chinese ginger (Zingiber officinale Roscoe)","year":2022,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Ginger and Zingiberaceae research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Jiangsu Agricultural Science and Technology Innovation Fund","keywords":"Distilled water; Chemistry; Ethanol; Food science; Contamination; Zingiber officinale; Chromatography; Biochemistry; Traditional medicine; Medicine","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":[0.0002366393,0.0001982821,0.0003610229,0.00004534866,0.0002142656,0.00001253863,0.000148206,0.0001347108,0.0001299303],"category_scores_gemma":[0.0001110887,0.0001841746,0.00005492169,0.0001673946,0.000219988,0.00005878088,0.0001726632,0.0006468149,8.62883e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006489,"about_ca_system_score_gemma":0.00006575524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001111254,"about_ca_topic_score_gemma":0.000001085227,"domain_scores_codex":[0.9987539,0.00009035926,0.0003113014,0.0002987049,0.0002767038,0.0002690239],"domain_scores_gemma":[0.9992331,0.0002224084,0.0001917752,0.0001718475,0.00007341076,0.0001074509],"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":[0.0003110768,0.0006582632,0.1639982,0.0006281777,0.0002035854,0.000002671378,0.005431487,0.00007923372,0.827359,0.000006085246,0.0001359418,0.001186269],"study_design_scores_gemma":[0.001522075,0.0004497565,0.005172436,0.00005528909,0.00009254768,0.00002000934,0.0005294813,0.001073261,0.9905252,0.00007162388,0.0003349971,0.0001532819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965259,0.001388074,0.000001472238,0.00004171728,0.00006491675,0.0002809289,0.00009937106,0.00002459342,0.001572995],"genre_scores_gemma":[0.9988838,0.00002207265,0.0000190882,0.00003193457,0.0000449905,0.00006068223,0.0001088688,0.00002247639,0.0008060152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1631662,"threshold_uncertainty_score":0.7510422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07029065334204274,"score_gpt":0.4030132163872988,"score_spread":0.332722563045256,"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."}}