{"id":"W3185492371","doi":"","title":"Satellite observations of environmental controls on vegetation greening and browning trends over Alaska and Northwest Canada domains","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Greening; Vegetation (pathology); Satellite; Geography; Physical geography; Environmental science; Remote sensing; Ecology","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":[0.0001926082,0.000144694,0.0001511194,0.0006877912,0.0008574903,0.0006626358,0.0002496918,0.0001705648,0.001032012],"category_scores_gemma":[0.0005760591,0.0001274634,0.0001612888,0.001197578,0.0003589429,0.0002490679,0.0003402462,0.000182428,0.00009811793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004022704,"about_ca_system_score_gemma":0.002906718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9413609,"about_ca_topic_score_gemma":0.972793,"domain_scores_codex":[0.9999194,0.0000075424,0.000005387894,0.00001940196,0.00002182293,0.00002644615],"domain_scores_gemma":[0.9994366,0.00008976062,0.00009694965,0.00001954186,0.0002337985,0.0001234328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003299553,0.00004115018,0.9834696,0.00002664986,0.00009493609,0.0001030176,0.001008285,0.003750344,0.003413214,0.0002125197,0.000875424,0.006674934],"study_design_scores_gemma":[0.000005147938,0.000005503997,0.9974227,0.000007251502,0.00001412575,0.000008852855,0.0007796478,0.0008725632,0.0001627138,0.00003367963,0.0006828664,0.000004889669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980057,0.00006249601,0.00002890675,0.00002821015,0.000002515243,0.000002254267,0.0008198678,0.000004904514,0.001045164],"genre_scores_gemma":[0.9987068,0.00006852722,0.00005411558,0.000007386983,0.000001579413,0.000002382837,0.0006236389,0.000002025845,0.0005334398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05863911,"threshold_uncertainty_score":0.1179689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006971193731101327,"score_gpt":0.1844970305722534,"score_spread":0.1775258368411521,"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."}}