{"id":"W7099273180","doi":"","title":"Detection of Neonicotinoid Insecticides in Wetlands of Canada’s Prairie Pothole","year":2014,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neonicotinoid; Pothole (geology); Wetland; Period (music); Imidacloprid","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004102208,0.0002260642,0.0002288817,0.0007860332,0.001519282,0.0006138775,0.0005555064,0.0006107841,0.002636685],"category_scores_gemma":[0.001335212,0.0001153988,0.0003253791,0.0009278476,0.0005413784,0.0002779658,0.0002961747,0.0005343225,0.0004265351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003992502,"about_ca_system_score_gemma":0.006055039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8809907,"about_ca_topic_score_gemma":0.9558495,"domain_scores_codex":[0.9995459,0.00001155204,0.00002866998,0.00007478965,0.0002573201,0.0000816861],"domain_scores_gemma":[0.9985367,0.000157966,0.0001551094,0.00002777769,0.001020217,0.000102223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008181725,0.0001491208,0.5613277,0.0009246616,0.0001824796,0.005840461,0.007289289,0.001363437,0.2278654,0.0009459053,0.09888284,0.09441046],"study_design_scores_gemma":[0.00002099177,0.00006884881,0.9399182,0.0001465876,0.000059011,0.0005618936,0.004415827,0.001128232,0.02380706,0.0001379416,0.02967521,0.00006028132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609092,0.0007921348,0.00380108,0.006526611,0.0007909708,0.00009730216,0.01501877,0.000596675,0.01146717],"genre_scores_gemma":[0.9746763,0.000692408,0.006742563,0.001418659,0.00002964119,0.00004074925,0.004650037,0.00009911189,0.01165048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190093,"threshold_uncertainty_score":0.2394202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009774670390174075,"score_gpt":0.2348197677531434,"score_spread":0.2250450973629694,"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."}}