{"id":"W7037064517","doi":"","title":"Controlling Conflicts with Urban Canada Geese in Missouri 2002","year":2002,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nuisance; Legislation; Government (linguistics); Population","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":[0.0003567206,0.0001525343,0.0001249483,0.0007444999,0.002723238,0.0005439773,0.0006628244,0.0003469359,0.001413879],"category_scores_gemma":[0.0008655327,0.0001247054,0.0000567553,0.001023704,0.0005181121,0.000158131,0.0006456274,0.0004334782,0.0001236865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005145264,"about_ca_system_score_gemma":0.006044743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8856153,"about_ca_topic_score_gemma":0.9878625,"domain_scores_codex":[0.9997892,0.00004016441,0.000008107636,0.0000195011,0.00004424583,0.00009884917],"domain_scores_gemma":[0.998672,0.0000829841,0.0002717951,0.00003528025,0.0002961708,0.0006417705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007069148,0.0007252903,0.8654358,0.0001418881,0.0001580355,0.001156894,0.01264483,0.00148319,0.006612339,0.0008711987,0.02161989,0.08844373],"study_design_scores_gemma":[0.000029359,0.0001056692,0.9760619,0.00002741758,0.00002619767,0.0001161168,0.006534796,0.0003653422,0.0005037429,0.00005300969,0.01616378,0.00001262829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993129,0.0004075246,0.00008684697,0.0004247438,0.00001523919,0.00004049898,0.0004495439,0.00001075074,0.005435769],"genre_scores_gemma":[0.98998,0.0004411972,0.0003338425,0.0001938606,0.000009357617,0.00002726038,0.0005014185,0.0000034659,0.008509547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8856153,"threshold_uncertainty_score":0.2301167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019455098661994,"score_gpt":0.1891206783137331,"score_spread":0.1789261273271131,"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."}}