{"id":"W2112308232","doi":"10.1603/ec12072","title":"Three-Dimensional Temporal and Spatial Distribution of Adult &lt;I&gt;Rhyzopertha dominica&lt;/I&gt; in Stored Wheat and Corn Under Different Temperatures, Moisture Contents, and Adult Densities","year":2012,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba; BP (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Agronomy; Biology; Moisture; Spatial distribution; PEST analysis; Winter wheat; Redistribution (election); Poaceae; Water content; Zea mays; Animal science; Horticulture; Mathematics; Materials science; Composite material","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":[0.00004301446,0.0001102542,0.0001217386,0.0002436678,0.0001368511,0.0002719733,0.0001206059,0.0001141314,0.000521922],"category_scores_gemma":[0.0000830245,0.0001071132,0.0001635269,0.0002035271,0.0001517684,0.0001484626,0.0001473398,0.0002246656,0.0001082915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974597,"about_ca_system_score_gemma":0.00009004585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007294324,"about_ca_topic_score_gemma":0.01230458,"domain_scores_codex":[0.9999665,0.00000170834,0.000001968357,0.00001440573,0.000005785305,0.000009472037],"domain_scores_gemma":[0.9998386,0.00001790034,0.00006500143,0.00000729378,0.00003344606,0.00003769223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008035045,0.00005118008,0.08075323,0.00004662453,0.00003999059,0.0001269322,0.0002874508,0.0004086836,0.9112706,0.00005211143,0.0001227119,0.006036989],"study_design_scores_gemma":[0.000009897743,0.0001440981,0.9543788,0.00000381413,0.00002507708,0.00009448947,0.0002903544,0.001119688,0.04350973,0.00002214957,0.0003899414,0.00001200639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994441,0.00004028379,0.0001003252,0.000003166859,6.277755e-7,0.000001913964,0.0002207375,0.000007342915,0.000181533],"genre_scores_gemma":[0.9986003,0.00003649498,0.0002490321,0.00001437948,9.941843e-7,0.000008976624,0.000552528,0.000004544865,0.0005328197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007294324,"threshold_uncertainty_score":0.01450372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386563068069909,"score_gpt":0.2147394238911938,"score_spread":0.2008737932104947,"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."}}