{"id":"W3212562312","doi":"10.1038/s41598-021-01936-6","title":"Direct and indirect effects of roads on space use by jaguars in Brazil","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Urban sprawl; Jaguar; Geography; Wildlife; Fencing; Deforestation (computer science); Land use; Habitat; Land cover; Ecology; Environmental resource management; Environmental science; Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005365151,0.0003064286,0.0002307699,0.0004734195,0.0003365714,0.0007160471,0.000313618,0.0002120008,0.001638779],"category_scores_gemma":[0.002769289,0.0001825879,0.0005770857,0.0005081592,0.0006105609,0.0004261691,0.0008098632,0.0002877964,0.0001287759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007431261,"about_ca_system_score_gemma":0.0005104578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06591415,"about_ca_topic_score_gemma":0.146369,"domain_scores_codex":[0.999391,0.0002631608,0.00003565579,0.0001370481,0.00006022693,0.0001129159],"domain_scores_gemma":[0.9982015,0.0007336661,0.0006117051,0.000156172,0.0001436203,0.000153304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004432927,0.00005298658,0.9907225,0.00003829817,0.0001089676,0.00008814121,0.001030071,0.0004527098,0.000577385,0.0003059367,0.00008334535,0.006495283],"study_design_scores_gemma":[0.000003435273,0.00008424756,0.996837,0.00003454866,0.00009363746,0.00008867386,0.0009727543,0.001109826,0.0001330565,0.0001500299,0.0004853675,0.000007436242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983746,0.0001802223,0.0001654197,0.00007444733,0.000001908833,0.000005741682,0.0001617489,0.000005420083,0.001030467],"genre_scores_gemma":[0.9994035,0.000162701,0.0001683641,0.000008288706,0.000001238331,0.000004666054,0.00008009329,0.000001875036,0.000169356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06591415,"threshold_uncertainty_score":0.131061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005621626732474788,"score_gpt":0.2085123724814966,"score_spread":0.2028907457490218,"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."}}