{"id":"W4387581005","doi":"10.1038/s41893-023-01232-3","title":"Subnational biodiversity reporting metrics for mountain ecosystems","year":2023,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Environmental resource management; Sustainability; Ecosystem; Scale (ratio); Sustainable development; Biodiversity conservation; Environmental planning; Geography; Business; Environmental science; Ecology; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002740558,0.0001244828,0.000194854,0.00009528711,0.00036287,0.00004766323,0.0002483568,0.0002577622,0.0002259276],"category_scores_gemma":[0.002477483,0.0001031648,0.0001229631,0.001130605,0.00001911754,0.0002627094,0.0002163168,0.0002020244,0.0001334634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008750267,"about_ca_system_score_gemma":0.00005010861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006651594,"about_ca_topic_score_gemma":0.001140999,"domain_scores_codex":[0.9982808,0.00005829888,0.0004450837,0.000436941,0.0003912315,0.0003877068],"domain_scores_gemma":[0.9988508,0.0002476496,0.0003708818,0.0002963971,0.0001430063,0.00009126311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002799628,0.00003896075,0.984277,0.0002820425,0.00001377344,0.00001554642,0.0001730389,0.0009364545,0.00002139029,0.0002350955,0.01320261,0.0007761188],"study_design_scores_gemma":[0.0007586387,0.00008953609,0.761859,0.00001107854,0.00004412451,0.00001048123,0.002792358,0.02739157,0.0005265331,0.02083741,0.1851954,0.0004838841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960409,0.00003578565,0.00009717641,0.0017659,0.0003267319,0.0006975316,0.0000752449,0.0001805224,0.0007802528],"genre_scores_gemma":[0.9993162,0.000002794789,0.0001143513,0.0001295595,0.00007931334,0.00004398734,0.0001339214,0.000006229115,0.000173687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.222418,"threshold_uncertainty_score":0.420694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311394818810161,"score_gpt":0.2743663841214904,"score_spread":0.2612524359333888,"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."}}