{"id":"W3010173860","doi":"10.1088/1757-899x/753/8/082034","title":"Peculiarities of Steam Treatment of Edible Plant Raw Materials and Simulation Thereof","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Advanced Theoretical and Applied Studies in Material Sciences and Geometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw material; Humidity; Blanching; Moisture; Water content; Materials science; Sunflower; Environmental science; Chemistry; Composite material; Agronomy; Food science; Thermodynamics; Engineering; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001846039,0.0002612167,0.0003089805,0.0003581149,0.0003002185,0.000523585,0.0005335044,0.0008396075,0.003495049],"category_scores_gemma":[0.000672523,0.0001561673,0.0005143949,0.0003291747,0.0003497352,0.0003976528,0.0002390699,0.0002734968,0.0002750873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360236,"about_ca_system_score_gemma":0.0002638127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004303742,"about_ca_topic_score_gemma":0.001825127,"domain_scores_codex":[0.9999263,0.00001445741,0.000003809446,0.00001713127,0.00002082822,0.00001740751],"domain_scores_gemma":[0.999767,0.0001262795,0.00002391921,0.00002247471,0.00004334491,0.00001688446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001181642,0.00008532879,0.00275459,0.000167736,0.00002088043,0.0002906422,0.00009968737,0.9679685,0.01671891,0.005804834,0.0005531222,0.005417505],"study_design_scores_gemma":[0.000008015493,0.0000317352,0.0004668268,0.000004744591,0.00000461205,0.00001809142,0.00002019029,0.9954714,0.002828998,0.0005959638,0.0005446901,0.000004699351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130912,0.000518963,0.06088213,0.0002513534,0.00009491693,0.00008045284,0.0007639762,0.0003375741,0.02397953],"genre_scores_gemma":[0.991648,0.0001184973,0.004353962,0.00001830359,0.000007014525,0.00004357987,0.0002287262,0.00003678595,0.00354528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004303742,"threshold_uncertainty_score":0.01169205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532028316457584,"score_gpt":0.2178122274570183,"score_spread":0.2024919442924425,"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."}}