{"id":"W2063550313","doi":"10.1603/en09217","title":"Plant Nutrients and the Spatiotemporal Distribution Dynamics of &lt;I&gt;Ceutorhynchus obstrictus&lt;/I&gt; (Coleoptera: Curculionidae) and Its Parasitoids","year":2010,"lang":"en","type":"article","venue":"Environmental Entomology","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Agriculture Food and Rural Development; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Canola Producers Commission","keywords":"Curculionidae; Agriculture; Biological sciences; Biology; Distribution (mathematics); Library science; Ecology; Entomology; Biotechnology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00008359714,0.0000713304,0.00007020076,0.0004267354,0.0001694098,0.0002734971,0.0001531551,0.0001182489,0.0004235527],"category_scores_gemma":[0.0002645661,0.00009094147,0.00006097576,0.0003295222,0.0002040856,0.0001424642,0.0001322021,0.0001158815,0.00009281345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007556101,"about_ca_system_score_gemma":0.0002342372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1093056,"about_ca_topic_score_gemma":0.2445415,"domain_scores_codex":[0.9999566,0.000005134545,0.000002068877,0.00001612577,0.000007664076,0.00001246365],"domain_scores_gemma":[0.9997194,0.00003550495,0.0001420603,0.00001227106,0.00004965364,0.00004104389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001351985,0.00002738041,0.9596251,0.00002612802,0.00003678858,0.0001140128,0.0006679759,0.0004947871,0.03307266,0.00007434929,0.0002502865,0.005475298],"study_design_scores_gemma":[7.997169e-7,0.000008613706,0.9991357,0.000001227909,0.000004085687,0.0000242036,0.000135227,0.0003805378,0.0002073618,0.000004648847,0.00009629085,0.000001406704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999701,0.00004105214,0.00002799059,0.00000745627,3.043543e-7,8.28619e-7,0.00007468792,0.000002066414,0.000144519],"genre_scores_gemma":[0.9996841,0.00002488458,0.00006574093,0.000003825246,5.209823e-7,0.000001620275,0.0001075494,6.404869e-7,0.0001112244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1093056,"threshold_uncertainty_score":0.2173387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007155845309313087,"score_gpt":0.1961524002820978,"score_spread":0.1889965549727848,"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."}}