{"id":"W4292436423","doi":"10.1007/s10530-022-02888-2","title":"A science-based policy for managing free-roaming cats","year":2022,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Roaming; CATS; Enforcement; Biology; Legislature; Business; Environmental planning; Ecology; Political science; Geography; Medicine; Telecommunications; Computer science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0003143721,0.0001102464,0.0001133944,0.0001635155,0.00113121,0.00002755165,0.0004465425,0.00004278862,0.0001035098],"category_scores_gemma":[0.0009879598,0.00008983581,0.0001114055,0.0003238987,0.0002864978,0.000003157243,0.00083311,0.0001012293,0.000006884243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007112406,"about_ca_system_score_gemma":0.0002077879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003547325,"about_ca_topic_score_gemma":0.00002291057,"domain_scores_codex":[0.9989467,0.00005415574,0.0001573654,0.0004025921,0.0001246505,0.000314492],"domain_scores_gemma":[0.9994158,0.00006629568,0.00006247345,0.0002932146,0.00008413867,0.00007815116],"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":[0.00008349156,0.000116205,0.0008501629,0.000004163949,0.00002087254,0.000002291659,0.00003943978,0.0001267982,0.9843931,0.007223746,0.006102782,0.001036923],"study_design_scores_gemma":[0.001581054,0.003894617,0.008818758,0.00001625447,0.00002935262,0.00003669218,0.002148175,0.0006974133,0.1946796,0.004264475,0.7831075,0.0007260774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863257,0.0003153112,0.001775092,0.003178744,0.000303369,0.0004054397,0.0001578422,0.00005638968,0.007482143],"genre_scores_gemma":[0.9951848,0.00001987773,0.001416216,0.002120456,0.000230562,0.0002577606,0.00006318717,0.000009197114,0.0006979386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7897135,"threshold_uncertainty_score":0.8700465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2084954500858209,"score_gpt":0.3813750863495342,"score_spread":0.1728796362637133,"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."}}