{"id":"W1980079421","doi":"10.1094/cc-82-0671","title":"Optimization of a Laboratory Dehulling Process for Lentil (<i>Lens culinaris</i>)","year":2005,"lang":"en","type":"article","venue":"Cereal Chemistry","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water content; Response surface methodology; Chemistry; Food science; Moisture; Hull; Abrasive; Agronomy; Animal science; Composite material; Materials science; Chromatography; Biology","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":[0.0005978611,0.0006027863,0.0005550825,0.0002863879,0.0003487465,0.0007378124,0.0005016118,0.0003134255,0.0007652383],"category_scores_gemma":[0.0005666464,0.000206122,0.0005410537,0.0003860584,0.0002227829,0.0003803819,0.0003345703,0.0004952776,0.0002394265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006506469,"about_ca_system_score_gemma":0.0004510078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003425112,"about_ca_topic_score_gemma":0.004629813,"domain_scores_codex":[0.9995762,0.00007514403,0.00004656171,0.0001124699,0.0001411631,0.00004846013],"domain_scores_gemma":[0.9996281,0.0001003513,0.0001311257,0.00002620129,0.00006632946,0.00004792691],"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":[0.0002018871,0.0002533643,0.000536211,0.0001201378,0.00001500902,0.00002953969,0.00002145722,0.0009009285,0.994655,0.00002547833,0.00003882804,0.003202075],"study_design_scores_gemma":[0.00003240467,0.001352712,0.006479546,0.00001367418,0.00004149548,0.00003832913,0.00004666846,0.003730904,0.9871286,0.00001970006,0.001096683,0.00001927026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915512,0.0007039594,0.006435267,0.00004901157,0.00002066781,0.0001692324,0.0002262758,0.000090581,0.0007539169],"genre_scores_gemma":[0.9772565,0.0006792152,0.02038132,0.00003942618,0.000008754352,0.0001561621,0.0004227982,0.00004381528,0.001012073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003425112,"threshold_uncertainty_score":0.006810367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005917103888025189,"score_gpt":0.1947641158810954,"score_spread":0.1888470119930702,"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."}}