{"id":"W3094854007","doi":"10.1111/nph.17046","title":"Seasonal variation in the canopy color of temperate evergreen conifer forests","year":2020,"lang":"en","type":"article","venue":"New Phytologist","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University","funders":"Nuclear Safety and Security Commission; Bowdoin College; National Aeronautics and Space Administration; National Science Foundation","keywords":"Evergreen; Canopy; Temperate climate; Temperate rainforest; Temperate forest; Biology; Variation (astronomy); Tree canopy; Ecology; Seasonality; Botany; Environmental science; Geography; Ecosystem","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001068981,0.00008439514,0.0001146662,0.00000514448,0.00003647634,0.0000151908,0.0002261,0.00006495177,0.0001646244],"category_scores_gemma":[0.00009840326,0.00005050793,0.00002976215,0.000259573,0.0001246675,0.00006880968,0.00005318555,0.0001215942,0.0000942569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005600957,"about_ca_system_score_gemma":0.00002547972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001499254,"about_ca_topic_score_gemma":0.003435255,"domain_scores_codex":[0.9992278,0.00008295662,0.0001393168,0.0001838204,0.0002262521,0.0001398065],"domain_scores_gemma":[0.999697,0.00005588249,0.00007402966,0.0001176601,0.000006698825,0.00004875624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009749486,0.00006805363,0.8420823,0.00001247208,0.00001350415,0.00003020373,0.00315608,0.01047031,0.07130794,0.0004756248,0.07013924,0.002146783],"study_design_scores_gemma":[0.0002793114,0.00007466925,0.9898023,0.000005150144,0.000006225038,0.000007325017,0.00005539655,0.003277168,0.001551364,0.0002302074,0.004637866,0.00007300485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848674,0.00001545196,0.000164239,0.00909669,0.00006175014,0.0002009525,0.000005151687,0.00001669144,0.005571664],"genre_scores_gemma":[0.9976251,0.000003046645,0.0009043355,0.001217174,0.00007119422,0.000001005478,0.000005520917,0.000003824295,0.0001688259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14772,"threshold_uncertainty_score":0.2266434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802298549819294,"score_gpt":0.2316221292998814,"score_spread":0.2135991438016885,"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."}}