{"id":"W4409338510","doi":"10.1016/j.jspr.2025.102649","title":"Management strategy evaluation of stored grain using global sensitivity analysis: Part I – Allowable maximum variations of temperatures and moisture contents of canola","year":2025,"lang":"en","type":"article","venue":"Journal of Stored Products Research","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Canola; Sensitivity (control systems); Moisture; Water content; Environmental science; Agronomy; Agricultural engineering; Materials science; Biology; Engineering; Composite material; Geotechnical 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":[0.001771332,0.0009494053,0.0006245854,0.0009659569,0.0003064201,0.00112684,0.0006311189,0.000594389,0.001506626],"category_scores_gemma":[0.002595476,0.0003107865,0.001168183,0.0005648863,0.0003010216,0.0008353003,0.0005615992,0.0004727337,0.00008343675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474788,"about_ca_system_score_gemma":0.0006859413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251718,"about_ca_topic_score_gemma":0.006000418,"domain_scores_codex":[0.9994867,0.0002065302,0.00002416374,0.00009383255,0.0001003075,0.00008837631],"domain_scores_gemma":[0.9985353,0.0009805992,0.0001158597,0.00007201801,0.0002565611,0.0000397058],"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":[0.0001197004,0.00005768014,0.005848218,0.00009720801,0.0001054399,0.0001138817,0.0000608564,0.98334,0.004116251,0.0007451765,0.0001954861,0.005200166],"study_design_scores_gemma":[0.00001825927,0.0003566687,0.005611993,0.00002183863,0.000101051,0.00003026796,0.0001906976,0.9876388,0.004783642,0.0008540762,0.0003671901,0.00002552766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512534,0.0002508225,0.04117095,0.0001907221,0.00003216736,0.0002033595,0.0005446049,0.0001846164,0.006169314],"genre_scores_gemma":[0.9965526,0.00004708202,0.002867503,0.00001333206,0.000001633108,0.00004389343,0.0001147889,0.000009879494,0.0003492374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251718,"threshold_uncertainty_score":0.02488863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111069664220907,"score_gpt":0.3681820379486359,"score_spread":0.2571123737277289,"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."}}