{"id":"W2922029472","doi":"","title":"Cost-benefit analysis for control of invasive greater Canada goose Branta canadensis in Flanders (northern Belgium)","year":2018,"lang":"en","type":"article","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Branta; Goose; Geography; Fishery; Ecology; Biology","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":[0.002106017,0.0008453836,0.0008817532,0.001209058,0.0004511238,0.001387019,0.0008741816,0.00103746,0.003759128],"category_scores_gemma":[0.005121994,0.0003874331,0.00137573,0.000875655,0.0005449945,0.0006934035,0.0006454939,0.0007134053,0.0001197901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009965667,"about_ca_system_score_gemma":0.003887369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.258437,"about_ca_topic_score_gemma":0.2499369,"domain_scores_codex":[0.9984048,0.0009060186,0.00004358205,0.00009486399,0.0002025551,0.0003481529],"domain_scores_gemma":[0.998327,0.001132398,0.0001274175,0.00005325841,0.0001791033,0.0001808307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01656101,0.001000552,0.03481583,0.001085387,0.002391862,0.0006155889,0.0001894606,0.8731833,0.005168217,0.004774086,0.001913406,0.05830132],"study_design_scores_gemma":[0.003086061,0.01085814,0.1833285,0.0004714624,0.00931996,0.0008811813,0.002387516,0.7679281,0.004527406,0.007667578,0.009335714,0.0002084003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826642,0.002764886,0.003292897,0.0007748764,0.00003910057,0.0003653266,0.001210859,0.0000463385,0.00884143],"genre_scores_gemma":[0.9967918,0.0003486318,0.001110784,0.00006731944,0.000004777355,0.00004925487,0.0002897358,0.0000066256,0.001331065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.258437,"threshold_uncertainty_score":0.5138654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708966769178639,"score_gpt":0.2094737425794417,"score_spread":0.1923840748876552,"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."}}