{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002259935,0.0001930445,0.000537806,0.00003536736,0.00007641875,0.0000411689,0.00009416525,0.0001915549,0.00003308807],"category_scores_gemma":[0.00005995338,0.00008692483,0.00007023542,0.00002759043,0.0002841252,0.0002266139,0.00007123794,0.0002043909,6.766948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008371054,"about_ca_system_score_gemma":0.00002275854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103544,"about_ca_topic_score_gemma":0.02879107,"domain_scores_codex":[0.9987723,0.0001221819,0.0005514865,0.00018125,0.00009486801,0.000277875],"domain_scores_gemma":[0.9990475,0.0002599508,0.0003732907,0.0000433902,0.0001332661,0.0001425654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002134386,0.0002918153,0.6342913,0.00003491297,0.0002012533,0.00003541015,0.0003093284,0.00002007151,0.3444339,0.01506779,0.0007998308,0.002379995],"study_design_scores_gemma":[0.001680915,0.000646473,0.9945043,0.00004772059,0.00003951535,0.0005152235,0.0001750628,0.0002200978,0.0006549261,0.001234855,0.0001207659,0.0001600884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962137,0.002110173,0.000005408189,0.001104867,0.0003203463,0.0001395906,0.0000828837,0.000004675351,0.00001831739],"genre_scores_gemma":[0.9992423,0.000221985,0.00002094887,0.0001437659,0.000298205,0.00000344762,0.00004480812,0.000001874751,0.00002264045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3602131,"threshold_uncertainty_score":0.9889309,"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."}}