{"id":"W6942488182","doi":"10.14288/1.0378358","title":"Biodiversity Indicators Show Climate Change Will Alter Vegetation in Parks and Protected Areas","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Advanced Thermoelectric Materials and Devices","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Climate change; Vegetation (pathology); Ecosystem; Productivity; Range (aeronautics); Baseline (sea)","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":[0.0002546643,0.0001565772,0.0001104453,0.0008969124,0.0002882924,0.0008897633,0.0002292545,0.0001852881,0.002748909],"category_scores_gemma":[0.000739966,0.0001019793,0.0002689186,0.001480087,0.0003661961,0.0004580434,0.0004003685,0.0002824937,0.0001571497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988961,"about_ca_system_score_gemma":0.0005187372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1434413,"about_ca_topic_score_gemma":0.3013999,"domain_scores_codex":[0.9998438,0.00003013549,0.000008700551,0.00003693207,0.00003974578,0.00004065171],"domain_scores_gemma":[0.9995901,0.00009318891,0.0001451121,0.00002850975,0.00008607509,0.00005698778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006713242,0.00003312704,0.9248385,0.00006622847,0.0001149215,0.0001148539,0.0003281101,0.05898036,0.001855401,0.001723981,0.001053046,0.01082449],"study_design_scores_gemma":[0.000004489994,0.00002739256,0.9782526,0.00001320267,0.00002557142,0.00004515094,0.0003985252,0.01875947,0.0002817411,0.0006714399,0.001510817,0.000009697509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890813,0.0001328127,0.001724324,0.0001375848,0.000006693526,0.00001534747,0.002293736,0.00005702311,0.006551161],"genre_scores_gemma":[0.9977945,0.00007602265,0.0007637973,0.00001154331,0.000002125575,0.000008197326,0.0006596719,0.000005544764,0.000678567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1434413,"threshold_uncertainty_score":0.2852128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450666108082225,"score_gpt":0.2448930663306707,"score_spread":0.2303864052498484,"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."}}