{"id":"W1553324755","doi":"","title":"ECONOMIC TOOLS FOR MANAGING IMPACTS OF URBAN CANADA GEESE","year":2000,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Economic impact analysis; Lawn; Business; Environmental planning; Scale (ratio); Environmental resource management; Geography; Natural resource economics; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001646841,0.00008194786,0.0002766036,0.00008073324,0.00007612669,0.000009177301,0.0001930491,0.00005328644,0.00266799],"category_scores_gemma":[0.000007989792,0.000129831,0.00009830064,0.00004272489,0.00005184541,0.0003566582,0.00003015972,0.00003981758,0.0001021652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447709,"about_ca_system_score_gemma":0.00007260951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1525453,"about_ca_topic_score_gemma":0.1079234,"domain_scores_codex":[0.9993682,0.000005727677,0.0002367572,0.0002137123,0.00001939617,0.0001561982],"domain_scores_gemma":[0.9994419,0.00005777332,0.0002470362,0.0001838313,0.00000550983,0.00006400141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003748427,0.0002630017,0.7817826,0.0003230788,0.0005088442,0.000008607658,0.00242808,0.0200095,0.0001620161,0.09680913,0.03444545,0.06288482],"study_design_scores_gemma":[0.002531573,0.000189159,0.8677776,0.0000331788,0.00003412604,0.000001960421,0.001502101,0.0155907,0.0001517458,0.007770138,0.1039778,0.0004399595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796144,0.0002182458,0.0003530749,0.00045002,0.0001018809,0.0002015668,0.0004453339,0.00000668313,0.01860877],"genre_scores_gemma":[0.9954509,0.0001826104,0.001014748,0.00006484721,0.00003494448,5.879016e-7,0.00004542781,0.000009769284,0.003196217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08903898,"threshold_uncertainty_score":0.9982437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650636971865514,"score_gpt":0.1697404462650867,"score_spread":0.1332340765464315,"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."}}