{"id":"W2076742298","doi":"10.13031/2013.29610","title":"Developing Postharvest Disinfestation Treatments for Legumes Using Radio Frequency Energy","year":2010,"lang":"en","type":"article","venue":"2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Washington State University; McMaster University; U.S. Department of Agriculture","keywords":"Postharvest; Phytosanitary certification; Radio frequency; Germination; Fumigation; Moisture; Environmental science; Dielectric heating; Legume; Horticulture; Materials science; Pulp and paper industry; Agronomy; Composite material; Optoelectronics; Biology; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002326593,0.0005247876,0.0003472776,0.0002959515,0.0001686846,0.0003672925,0.0003608681,0.000327182,0.000709985],"category_scores_gemma":[0.0001329414,0.0001813745,0.0005044396,0.0001615584,0.0001828885,0.0002638866,0.0002069041,0.0004158199,0.000245293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002591642,"about_ca_system_score_gemma":0.0001889622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007880154,"about_ca_topic_score_gemma":0.002802097,"domain_scores_codex":[0.9998137,0.00003369876,0.00001349713,0.0000404727,0.00006354947,0.00003514609],"domain_scores_gemma":[0.999838,0.00002333367,0.00006521089,0.00001232796,0.00004245252,0.00001872036],"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":[0.00001614836,0.0000119042,0.00012418,0.00005448579,0.000003343084,0.00001172339,0.000006444074,0.00003705781,0.9978862,0.000006176696,0.000006780074,0.001835463],"study_design_scores_gemma":[0.00000856694,0.0007159031,0.008823262,0.00001231709,0.0000355823,0.0001081352,0.00004051267,0.0004175086,0.9875532,0.00001566434,0.002261102,0.000008295257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689283,0.0041336,0.02540876,0.0001098314,0.00002726632,0.0001469036,0.0001417918,0.0001054061,0.0009982451],"genre_scores_gemma":[0.9461284,0.003921394,0.04678782,0.0002172614,0.00002386988,0.0001190533,0.0005193423,0.00005980676,0.002223063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007880154,"threshold_uncertainty_score":0.002375126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614079644941716,"score_gpt":0.2483599062100436,"score_spread":0.2222191097606264,"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."}}