{"id":"W4388225527","doi":"10.31223/x5t68z","title":"Systematic losses in tree-canopy cover over three decades revealed by integrating complementary data sources","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canopy; Tree canopy; Forest dynamics; Cover (algebra); Environmental science; Tree (set theory); Geography; Environmental resource management; Ecology; Mathematics; 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":[0.001372986,0.0004179217,0.0003396641,0.001538379,0.0002570596,0.0006157333,0.0003236684,0.000300584,0.0006320809],"category_scores_gemma":[0.002979506,0.0001750443,0.0005398243,0.003290833,0.0002346579,0.0007554358,0.001033858,0.0004572791,0.0002406211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958117,"about_ca_system_score_gemma":0.0005213947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386871,"about_ca_topic_score_gemma":0.03741749,"domain_scores_codex":[0.9994538,0.0001094624,0.0000568729,0.0001977275,0.0001077228,0.0000744014],"domain_scores_gemma":[0.9983965,0.0003730231,0.000438438,0.0003095096,0.0004006353,0.00008195863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001136379,0.00005438248,0.9626111,0.00009524346,0.0003840578,0.0001302025,0.0004145916,0.005769904,0.003003038,0.0004222741,0.001373552,0.02562793],"study_design_scores_gemma":[0.000005322359,0.00003059408,0.9830788,0.00003591721,0.0001072449,0.0001163864,0.0003367754,0.0109799,0.001092154,0.0003384234,0.003860943,0.00001750144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852078,0.0003225898,0.003276497,0.0001515096,0.00002314721,0.00001311257,0.009653801,0.00008623623,0.001265208],"genre_scores_gemma":[0.98091,0.0001627927,0.003101001,0.00005025137,0.00001673791,0.00003211239,0.01545988,0.00003200563,0.0002352755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02386871,"threshold_uncertainty_score":0.04745954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07842003811600481,"score_gpt":0.3054236932378877,"score_spread":0.2270036551218828,"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."}}