{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003994572,0.00009998219,0.0001341699,0.00001509539,0.0002195337,0.00002132628,0.00007386247,0.0001817465,0.0005608943],"category_scores_gemma":[0.0001472805,0.0001077565,0.00003200756,0.0001144816,0.0001148299,0.0002750946,0.00007303306,0.00006316058,0.0002643805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295051,"about_ca_system_score_gemma":0.00003400117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002774806,"about_ca_topic_score_gemma":0.00074596,"domain_scores_codex":[0.9991711,0.00008486061,0.0001825419,0.0002764123,0.00006859056,0.0002164382],"domain_scores_gemma":[0.9994808,0.0002379842,0.0001012683,0.0001256857,0.00002220646,0.00003208518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001637258,0.00001621926,0.9909336,0.000008473177,0.00001309038,0.000001037134,0.00006404104,0.00002281378,0.000196487,0.002496505,0.005352928,0.000731055],"study_design_scores_gemma":[0.0006092651,0.00009687819,0.9820669,0.000007117055,0.00002177511,0.00003014778,0.0000532072,0.002850081,0.00003561509,0.007298859,0.006807035,0.0001231775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918324,0.00001296108,0.0002779988,0.005849021,0.0002404686,0.0004521897,0.00001155031,0.00003701708,0.001286425],"genre_scores_gemma":[0.9810445,0.000005111215,0.001056004,0.0174417,0.00002595995,0.0000482725,0.00002075946,0.000004563601,0.0003530908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159267,"threshold_uncertainty_score":0.6141399,"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."}}