{"id":"W4366351605","doi":"10.1111/gcb.16727","title":"Green Shoots: A Burning Embers for biodiversity?","year":2023,"lang":"en","type":"letter","venue":"Global Change Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; CLARITY; Global biodiversity; Geography; Environmental resource management; Plan (archaeology); Environmental protection; Political science; Environmental planning; Ecology; Environmental science; Biology; Archaeology","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":[0.003188161,0.0006049644,0.0006066548,0.0009218498,0.01257828,0.01376814,0.001506986,0.004875404,0.03487331],"category_scores_gemma":[0.00573581,0.0003674046,0.0004941732,0.001658652,0.01796379,0.0183837,0.007279398,0.01242608,0.005577722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005233474,"about_ca_system_score_gemma":0.003853408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01499812,"about_ca_topic_score_gemma":0.06642535,"domain_scores_codex":[0.997823,0.0007465769,0.00005644299,0.0002917769,0.0006763107,0.0004057742],"domain_scores_gemma":[0.9969581,0.0007490363,0.000229973,0.0003222018,0.0004912879,0.00124935],"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":[0.0001524397,0.00005849492,0.002599958,0.0004668296,0.00003060284,0.0006994939,0.03496458,0.0000971152,0.0006899525,0.2282244,0.5733914,0.1586247],"study_design_scores_gemma":[0.000006863473,0.00002087676,0.001300237,0.000707766,0.000007937674,0.0002882354,0.03709729,0.00004748011,0.0001556155,0.035484,0.9248599,0.00002370681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0258177,0.04094453,0.005206453,0.6864433,0.03210394,0.0000453156,0.0003873054,0.0003195309,0.2087319],"genre_scores_gemma":[0.4043167,0.04114173,0.006911296,0.3171702,0.008518967,0.00007863075,0.0004860325,0.001159126,0.2202174],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03487331,"threshold_uncertainty_score":0.1166629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061877362871197,"score_gpt":0.2955803298968812,"score_spread":0.1893925936097614,"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."}}