{"id":"W2464867621","doi":"10.1111/ele.12645","title":"Climate change and habitat conversion favour the same species","year":2016,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Killam Trusts; Agence Nationale de la Recherche; Belmont Forum","keywords":"Biodiversity; Climate change; Ecology; Habitat; Land use, land-use change and forestry; Range (aeronautics); Geography; Global change; Global biodiversity; Land use; Agriculture; Agroforestry; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003821766,0.0001553446,0.0002666987,0.0007979992,0.0005668257,0.0007700953,0.0002372004,0.0003540044,0.004459463],"category_scores_gemma":[0.001183177,0.0001204829,0.0002566431,0.0007546872,0.0008846805,0.0005733515,0.0006772885,0.0003126274,0.000363426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000271332,"about_ca_system_score_gemma":0.0001296868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002749954,"about_ca_topic_score_gemma":0.009801331,"domain_scores_codex":[0.9996845,0.00007830001,0.00001661884,0.0001149375,0.00004934432,0.0000563834],"domain_scores_gemma":[0.9988709,0.0002361768,0.0004799351,0.0001324532,0.0000975037,0.0001828677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001195881,0.00002891163,0.9753017,0.0000475178,0.0002298485,0.000100361,0.0002634067,0.0005122556,0.009716516,0.0005877219,0.0001927441,0.01289929],"study_design_scores_gemma":[0.000002413585,0.00002109845,0.998533,0.000004188684,0.00001643125,0.00009036646,0.0001994468,0.0001997455,0.0001188205,0.0002824207,0.0005290265,0.000002906629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967326,0.0003645426,0.0001888458,0.00008499647,0.000005088648,0.000002033183,0.00007247545,0.000007416865,0.002542066],"genre_scores_gemma":[0.9995951,0.00008814288,0.00006585041,0.00004958964,0.000004360013,0.000001084009,0.00005393181,0.000001557234,0.0001403743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004459463,"threshold_uncertainty_score":0.01491839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708632720007846,"score_gpt":0.2143618815799239,"score_spread":0.1872755543798455,"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."}}