{"id":"W4388021711","doi":"10.3389/fclim.2023.1308032","title":"Editorial: Nature-based solutions, climate mitigation, biodiversity conservation","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Climate","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"","keywords":"Biodiversity; Biodiversity conservation; Climate change; Environmental resource management; Environmental science; Environmental planning; Geography; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00274629,0.0005633978,0.001265205,0.001290966,0.0004753548,0.0002839505,0.0007086365,0.002933594,0.00008217265],"category_scores_gemma":[0.002005564,0.0008023845,0.0003518898,0.0006676918,0.0001994309,0.0004421273,0.0003169899,0.001630976,0.002085015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266433,"about_ca_system_score_gemma":0.0001607292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032094,"about_ca_topic_score_gemma":0.0009202069,"domain_scores_codex":[0.9957084,0.00006124928,0.00148804,0.001176301,0.0001825156,0.001383491],"domain_scores_gemma":[0.9969641,0.0006410656,0.001305132,0.0007477028,0.0001711979,0.0001708315],"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":[0.0001080109,0.00006747191,0.03187495,0.0004466002,0.00006190546,0.000005371594,0.0001010384,0.0000899093,3.755206e-7,0.001611859,0.9656138,0.00001867201],"study_design_scores_gemma":[0.001421632,0.00004274835,0.0009145282,0.000165768,0.00003396395,1.281653e-7,0.0001150096,0.002203746,0.000004441699,0.008728919,0.9855682,0.0008009559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004153151,0.00133218,0.000225934,0.001546937,0.9640278,0.0004486931,0.0307848,0.0002742306,0.0009441042],"genre_scores_gemma":[0.00008799012,0.01486329,0.001224611,0.0004722653,0.9700661,0.0001399352,0.01291285,0.0001272205,0.0001057874],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03096042,"threshold_uncertainty_score":0.9994427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661003792960411,"score_gpt":0.2511417443692155,"score_spread":0.2145317064396114,"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."}}