{"id":"W1976763140","doi":"10.1007/s11947-011-0671-y","title":"Hyperbaric Treatment on Respiration Rate and Respiratory Quotient of Tomato","year":2011,"lang":"en","type":"article","venue":"Food and Bioprocess Technology","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada; Vineland Research and Innovation Centre","funders":"","keywords":"Respirometer; Respiratory quotient; Respiration; Volumetric flow rate; Thermocouple; Control valves; Respiration rate; Respiratory rate; Control theory (sociology); Quotient; Respiratory system; Gas analyzer; Materials science; Chemistry; Environmental science; Mathematics; Botany; Mechanics; Computer science; Control engineering; Biology; Engineering; Composite material; Physics; Control (management); Anatomy; Biochemistry; Environmental chemistry","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":[0.000137928,0.0001074892,0.0001543742,0.00004974179,0.00009158188,0.00001139109,0.00009170272,0.000119718,0.00001686445],"category_scores_gemma":[0.00002025413,0.00004219866,0.0000198261,0.000259659,0.0001363897,0.00005286793,0.00005688741,0.00004352668,0.000003939371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008963525,"about_ca_system_score_gemma":0.000003676781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005361088,"about_ca_topic_score_gemma":0.0002890301,"domain_scores_codex":[0.9993509,0.00002908208,0.0001756241,0.000242817,0.00006356981,0.0001380273],"domain_scores_gemma":[0.9997681,0.00002182524,0.00008415667,0.00005820988,0.00002994164,0.00003780666],"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":[0.0004162887,0.001216142,0.03395186,0.0001539638,0.0001231309,0.00001825384,0.0009209298,4.59838e-7,0.2595714,0.1164443,0.0001059794,0.5870773],"study_design_scores_gemma":[0.001006671,0.0288034,0.2752377,0.0001074267,0.00006852928,0.00001883423,0.002629046,0.0000225897,0.6284652,0.01843702,0.04462893,0.000574652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997614,0.0004887135,0.000001407683,0.0008465689,0.00002532769,0.0001562422,0.00001505041,0.00007510465,0.0007775957],"genre_scores_gemma":[0.9995298,0.00008497506,0.00003542802,0.0002363495,0.0000184676,0.00002417267,0.000003864192,6.779699e-7,0.00006631066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5865026,"threshold_uncertainty_score":0.1720811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0665638671755275,"score_gpt":0.2353494674181003,"score_spread":0.1687856002425728,"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."}}