{"id":"W2372875118","doi":"","title":"Application of Ultrasonic Extraction Technology Advances in Agricultural Science","year":2014,"lang":"en","type":"article","venue":"Academic Periodical of Farm Products Processing","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Ultrasonic sensor; Extraction (chemistry); Raw material; Agriculture; Computer science; Process engineering; Pulp and paper industry; Chromatography; Chemistry; Engineering; Medicine; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006501671,0.0004872699,0.000391157,0.001506486,0.0003970218,0.0008633935,0.0004465896,0.000653504,0.001969154],"category_scores_gemma":[0.0006040519,0.0002069435,0.0004574692,0.001875132,0.0005480518,0.001291595,0.000534364,0.0005709526,0.000855851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006044089,"about_ca_system_score_gemma":0.0006367202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006570362,"about_ca_topic_score_gemma":0.0005627708,"domain_scores_codex":[0.9992034,0.0001253356,0.00006390388,0.0001526972,0.0003853652,0.00006940764],"domain_scores_gemma":[0.9995789,0.0001323562,0.00005322694,0.00003226204,0.0001844671,0.00001882543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001719216,0.0001551336,0.005808341,0.00284353,0.00007624428,0.0006427938,0.0004921693,0.002526369,0.4119296,0.01860252,0.003292038,0.5534594],"study_design_scores_gemma":[0.00002818122,0.0007862267,0.01204545,0.0005091606,0.0001855319,0.002518578,0.0007447288,0.01172418,0.5940859,0.0126223,0.3646509,0.00009884018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2188114,0.4205672,0.2552438,0.004618872,0.001484572,0.0002536934,0.0003360354,0.0007639822,0.09792057],"genre_scores_gemma":[0.6538113,0.2417431,0.07830056,0.0008030109,0.001019961,0.0001183517,0.0003059349,0.00008069972,0.02381718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001969154,"threshold_uncertainty_score":0.006587505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003755105063697716,"score_gpt":0.230013710458895,"score_spread":0.2262586053951973,"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."}}