{"id":"W1971944016","doi":"10.1016/j.jfoodeng.2013.03.024","title":"Sensitivity analysis of parameters affecting the drying behaviour of durum wheat pasta","year":2013,"lang":"en","type":"article","venue":"Journal of Food Engineering","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Waterloo; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal diffusivity; Shrinkage; Moisture; Water content; Mass transfer; Sensitivity (control systems); Diffusion; Constant (computer programming); Work (physics); Environmental science; Materials science; Mathematics; Thermodynamics; Chemistry; Statistics; Composite material; Chromatography; Geotechnical engineering; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001027281,0.0006504584,0.0006698083,0.0006740353,0.0003064496,0.0006914058,0.0003647392,0.0008707651,0.0009447987],"category_scores_gemma":[0.002861324,0.000321821,0.001014459,0.0003489199,0.0003419066,0.0004212326,0.00040017,0.000538922,0.00008026508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007058239,"about_ca_system_score_gemma":0.0002160026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008752741,"about_ca_topic_score_gemma":0.003512884,"domain_scores_codex":[0.9997624,0.00008907448,0.00001276758,0.00004038326,0.0000440674,0.00005128481],"domain_scores_gemma":[0.9981974,0.001475729,0.00008876676,0.00007871787,0.0001300607,0.00002941871],"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":[0.0002011245,0.00005089804,0.002523135,0.00009066612,0.00008245048,0.0002016431,0.00002763594,0.9686187,0.02550915,0.0003548422,0.0001305322,0.002209186],"study_design_scores_gemma":[0.000009888689,0.0001254024,0.0063864,0.000007779849,0.00005397726,0.00004824773,0.00004780442,0.9826182,0.01018116,0.0003076663,0.0001932079,0.0000201894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868581,0.0003049181,0.01033894,0.0001208227,0.0000216297,0.00002689286,0.0002286837,0.00005686571,0.002043068],"genre_scores_gemma":[0.9993332,0.00004328918,0.0003484559,0.000007171214,0.000001249905,0.000005055849,0.00004684852,0.000006299202,0.0002084418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008752741,"threshold_uncertainty_score":0.0174036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649424352724683,"score_gpt":0.1951826196590407,"score_spread":0.1786883761317939,"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."}}