{"id":"W2912847642","doi":"10.1016/j.gecco.2019.e00560","title":"Is restocking a useful tool for increasing rabbit densities?","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Junta de Andalucía; Genome Institute of Singapore; Canadian Institute of Steel Construction","keywords":"European rabbit; Population; Habitat; Transect; Biology; Mediterranean climate; Geography; Ecology; Fishery; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002045745,0.0003679724,0.0006001187,0.0006506187,0.000405713,0.0009151027,0.0007799987,0.0006146696,0.002969183],"category_scores_gemma":[0.004680001,0.0001510582,0.0004266567,0.0005150268,0.0006668476,0.0009418125,0.0004340962,0.0003618197,0.0007170731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003076747,"about_ca_system_score_gemma":0.0004409674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003163161,"about_ca_topic_score_gemma":0.007920548,"domain_scores_codex":[0.9989818,0.0004617004,0.00009849561,0.0001780993,0.0001949319,0.00008501094],"domain_scores_gemma":[0.9974951,0.0006027253,0.001072082,0.0002370231,0.0003216092,0.0002715214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009434858,0.0007361731,0.375875,0.001199499,0.0002468397,0.0005861048,0.0007090265,0.0002268751,0.01404488,0.0005840141,0.003898906,0.6009491],"study_design_scores_gemma":[0.0001299505,0.0063892,0.929989,0.002085539,0.0006438163,0.002726354,0.002401178,0.000967379,0.00666158,0.0009107489,0.04700734,0.00008782071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366292,0.02845985,0.005408016,0.008494764,0.0004986665,0.0001580403,0.0005472706,0.0003193827,0.01948471],"genre_scores_gemma":[0.9705767,0.01239724,0.01162794,0.0011445,0.0002383356,0.0001228111,0.0003594112,0.00003893327,0.003494074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003163161,"threshold_uncertainty_score":0.01081908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119256255389756,"score_gpt":0.2296065477183271,"score_spread":0.2184139851644296,"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."}}