{"id":"W2001656353","doi":"10.1081/drt-120025501","title":"Synthesis of Rice Processing Plants. III. Sensitivity Analysis","year":2003,"lang":"en","type":"article","venue":"Drying Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sensitivity (control systems); Environmental science; Process engineering; Agronomy; Engineering; Biology; Electronic engineering","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":[0.00118211,0.0005084613,0.0005612965,0.0004746368,0.0002893131,0.0005773506,0.0004049599,0.0005228583,0.004590557],"category_scores_gemma":[0.001983302,0.000389882,0.0007684456,0.0005107435,0.000283285,0.0006803562,0.000371099,0.0006035534,0.0002783386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265449,"about_ca_system_score_gemma":0.0008243439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003990894,"about_ca_topic_score_gemma":0.003445922,"domain_scores_codex":[0.9996177,0.0001322597,0.00002022329,0.00006314148,0.0001147598,0.00005186788],"domain_scores_gemma":[0.9991787,0.0005628839,0.00008171881,0.00007619465,0.0000870064,0.00001358461],"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":[0.00004205443,0.00001660392,0.0001698769,0.00007029384,0.000007497137,0.00002264244,0.000004275106,0.9907938,0.004509994,0.0007103791,0.00008152113,0.00357113],"study_design_scores_gemma":[0.00002012535,0.0001707359,0.0005576152,0.00001125741,0.00001988096,0.00002142046,0.00001413665,0.9698792,0.02601247,0.002014893,0.001267437,0.00001077044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6393716,0.0008166953,0.3293293,0.0003462051,0.00006996966,0.0006082781,0.002415409,0.0005605979,0.02648202],"genre_scores_gemma":[0.9573225,0.0002413944,0.03888596,0.00002674584,0.0000040194,0.0002554506,0.0005000993,0.00002815448,0.002735725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004590557,"threshold_uncertainty_score":0.01535702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007871868842234274,"score_gpt":0.2026740419263207,"score_spread":0.1948021730840865,"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."}}