{"id":"W3196989457","doi":"10.1016/j.jag.2021.102523","title":"Temporal connections between long-term Landsat time-series and tree-rings in an urban–rural temperate forest","year":2021,"lang":"en","type":"article","venue":"International Journal of Applied Earth Observation and Geoinformation","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deciduous; Temperate deciduous forest; Dendrochronology; Geography; Physical geography; Temperate forest; Environmental science; Normalized Difference Vegetation Index; Temperate rainforest; Canopy; Temperate climate; Climatology; Climate change; Forestry; Ecology; Geology; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002643156,0.0001132754,0.0001720613,0.0002306687,0.0001060931,0.0003640052,0.0001026115,0.00006426452,0.0001341516],"category_scores_gemma":[0.00004950273,0.0001019671,0.00002973874,0.0001439321,0.00005589171,0.001909856,0.0000162267,0.0001414317,0.00002017514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009546967,"about_ca_system_score_gemma":0.00008196486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008670249,"about_ca_topic_score_gemma":0.003151497,"domain_scores_codex":[0.9989339,0.00003200736,0.0005080893,0.00009283908,0.000302789,0.0001303419],"domain_scores_gemma":[0.9992586,0.0001042778,0.0002835055,0.00006246518,0.0001938129,0.00009734487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002469761,0.00001078287,0.9681884,0.0000120546,0.00002547141,0.000009896064,0.0006029287,0.001077749,0.0001569031,0.0001394508,0.0000162665,0.02951314],"study_design_scores_gemma":[0.0008677095,0.0001110105,0.9943638,0.00005170442,0.00001115935,0.0001038876,0.0003458441,0.002578546,0.0003637477,0.0002436067,0.0008479408,0.0001109775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998354,0.00007179612,0.0001270031,0.0007589013,0.0001462296,0.00007914473,0.00003554678,0.0000175456,0.0004098279],"genre_scores_gemma":[0.9978877,0.0001413235,0.0009977622,0.0001565335,0.0001701476,7.758033e-7,0.0005476668,0.000003423472,0.00009460676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02940216,"threshold_uncertainty_score":0.4158098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765286134905572,"score_gpt":0.2352321465897325,"score_spread":0.2175792852406768,"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."}}