{"id":"W3113571175","doi":"10.1201/b11827-51","title":"6 Climate change and biodiversity","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Biodiversity; Environmental science; Climate change; Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006467282,0.0005166917,0.0004298982,0.000794214,0.001631023,0.004244996,0.0005274382,0.002002029,0.03753968],"category_scores_gemma":[0.001622446,0.0001253729,0.0004658867,0.00166032,0.001809419,0.002464422,0.002445467,0.002564864,0.007728784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518968,"about_ca_system_score_gemma":0.002518206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006533026,"about_ca_topic_score_gemma":0.007134893,"domain_scores_codex":[0.999441,0.0001673542,0.00002382925,0.0001085305,0.0001552901,0.000104034],"domain_scores_gemma":[0.999474,0.0001070862,0.00007131101,0.00004311801,0.0001747316,0.000129667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005219139,0.00007399142,0.00578617,0.001734514,0.00007986003,0.0003770999,0.002360798,0.0007434476,0.0005287346,0.2375838,0.4650277,0.2856519],"study_design_scores_gemma":[0.000001991921,0.00001671967,0.002399598,0.0005345793,0.000008161574,0.0001410291,0.0005358899,0.00004125513,0.00004037301,0.0145529,0.9817181,0.000009453238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008940342,0.3141677,0.00206584,0.1108242,0.01722058,0.0000725943,0.002263084,0.0002258864,0.5442199],"genre_scores_gemma":[0.2508282,0.4339799,0.003749127,0.05386836,0.01500236,0.0001583735,0.003088391,0.0002045056,0.2391208],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03753968,"threshold_uncertainty_score":0.1255828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09525535763379907,"score_gpt":0.2252113093669932,"score_spread":0.1299559517331941,"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."}}