{"id":"W3080442119","doi":"10.1136/vr.105766","title":"Assessing methods to live‐capture wild boars ( <i>Sus scrofa</i> ) in urban and peri‐urban environments","year":2020,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Veterinary Pharmacology and Anesthesia","field":"Veterinary","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"European Social Fund; Agència de Gestió d'Ajuts Universitaris i de Recerca; Universitat Autònoma de Barcelona; Generalitat de Catalunya","keywords":"Wild boar; Cage; Biology; Animal science; Veterinary medicine; Animal husbandry; Drop (telecommunication); Zoology; Ecology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004471643,0.000536785,0.0006438849,0.0001744975,0.0002319592,0.0001402097,0.0004621822,0.000289453,0.0005635332],"category_scores_gemma":[0.00005072206,0.0005685459,0.000132605,0.0003251365,0.0001628766,0.0007568232,0.0005404344,0.0006599777,0.000291936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000924,"about_ca_system_score_gemma":0.00003450993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006045351,"about_ca_topic_score_gemma":0.000001807199,"domain_scores_codex":[0.996618,0.0008570807,0.00056743,0.001042406,0.0001963017,0.0007187785],"domain_scores_gemma":[0.9987448,0.0001804482,0.000154642,0.0003860821,0.00001184713,0.0005221815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004008134,0.0003355173,0.0414009,0.0002313264,0.000108952,0.01180051,0.008093127,0.00001602347,0.8857817,0.00001756606,0.008028659,0.04017758],"study_design_scores_gemma":[0.002243273,0.01270233,0.1036974,0.0002366367,0.0001053247,0.003218087,0.002367677,0.001544294,0.001145646,0.00005281698,0.8711182,0.001568233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994102,0.0007478334,0.000378448,0.002093936,0.0004003992,0.0005520052,0.00001872733,0.0001563898,0.00155026],"genre_scores_gemma":[0.9638757,0.0000863541,0.0291526,0.005992739,0.0003312996,0.00011304,0.000020888,0.0001012013,0.0003262107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.884636,"threshold_uncertainty_score":0.9996766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032724322530102,"score_gpt":0.3816245119359685,"score_spread":0.2783520796829582,"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."}}