{"id":"W3039543222","doi":"10.1038/s41558-020-0820-2","title":"Leaf senescence exhibits stronger climatic responses during warm than during cold autumns","year":2020,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Phenology; Global warming; Temperate climate; Environmental science; Climate change; Growing season; Context (archaeology); Senescence; Climatology; Biology; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001948446,0.0004268607,0.0003663099,0.00005215146,0.0004257525,0.0001028102,0.0004685212,0.0004631635,0.0003617888],"category_scores_gemma":[0.0001761018,0.0003493102,0.0001451511,0.0006165391,0.0001515173,0.0004703119,0.0006214235,0.001046641,0.0009296805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295226,"about_ca_system_score_gemma":0.000006908926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002955845,"about_ca_topic_score_gemma":0.0001064074,"domain_scores_codex":[0.9970582,0.000137868,0.0003438031,0.000838169,0.0007069675,0.0009149972],"domain_scores_gemma":[0.9989014,0.00007594224,0.0002046098,0.0004432815,0.00002416113,0.0003505846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002746283,0.00008836062,0.07290458,0.0003961982,0.00002180173,0.000376373,0.005159578,0.00008876431,0.9192219,0.00003843165,0.001176894,0.0002524912],"study_design_scores_gemma":[0.0009109651,0.0001109294,0.8396997,0.0003692887,0.00005449766,0.0001224793,0.0007705615,0.0006792893,0.1542138,0.00001348693,0.002208481,0.0008465578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916704,0.0003474579,0.000002732286,0.00446002,0.0004297789,0.0006258046,0.00005776865,0.0003672515,0.002038813],"genre_scores_gemma":[0.9966014,0.0003067269,0.0007482473,0.001017864,0.000902774,0.00001246562,0.00001734195,0.0000628721,0.0003303004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7667951,"threshold_uncertainty_score":0.9998959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264060567528222,"score_gpt":0.2395411754206797,"score_spread":0.2169005697453974,"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."}}