{"id":"W3193043031","doi":"10.1111/gcb.15746","title":"A simple explanation for declining temperature sensitivity with warming","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Phenology; Climatology; Environmental science; Sensitivity (control systems); Global warming; Climate sensitivity; Econometrics; Ecology; Atmospheric sciences; Climate model; Biology; Mathematics; Physics; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000146308,0.00007614504,0.0001055938,0.000005762548,0.0001042976,0.00001231405,0.00004664731,0.00008577792,0.00003792235],"category_scores_gemma":[0.00003815491,0.00005761218,0.00002515802,0.000134217,0.0000420984,0.00005846944,0.00006896447,0.00003667913,0.00001579589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009192985,"about_ca_system_score_gemma":0.00001035421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002988418,"about_ca_topic_score_gemma":0.005019975,"domain_scores_codex":[0.9993531,0.0000510512,0.00007894315,0.000261584,0.00005148556,0.0002038239],"domain_scores_gemma":[0.9997491,0.00004511675,0.00004343927,0.0001010675,0.00001670488,0.00004455089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003592766,0.0000365726,0.977545,0.00001867279,0.00001360326,0.00005358653,0.0001834788,0.00005390513,0.01209306,0.001172552,0.0002360605,0.0085576],"study_design_scores_gemma":[0.002308776,0.0009391126,0.8908202,0.0001239872,0.00007061782,0.0008761578,0.001888769,0.05073763,0.003516904,0.004308984,0.04323303,0.001175811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959394,0.0000808148,0.002441636,0.0003012641,0.0001472673,0.00017217,0.0001319049,0.00002180357,0.0007636846],"genre_scores_gemma":[0.9980036,0.00001215225,0.001308448,0.0004231694,0.00008995587,0.00003037369,0.0001029057,0.000003538044,0.00002582621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08672477,"threshold_uncertainty_score":0.2801264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145079327598834,"score_gpt":0.2755316545965213,"score_spread":0.254080861320533,"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."}}