{"id":"W6967082132","doi":"10.5167/uzh-130701","title":"No growth stimulation of Canada’s boreal forest under half-century of combined warming and CO2fertilization","year":2016,"lang":"en","type":"article","venue":"Zurich Open Repository and Archive (University of Zurich)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Boreal; Climate change; Biomass (ecology); Ecosystem; Forest ecology; Growing season; Global warming; Productivity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001960707,0.00008465249,0.0001955205,0.00008253737,0.0001852436,0.0000111696,0.000182808,0.00003243841,0.00003141603],"category_scores_gemma":[0.0000439499,0.00007304791,0.00002126026,0.00008737053,0.0001923834,0.000303342,0.00008013588,0.00003597489,5.149134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007808889,"about_ca_system_score_gemma":0.0001610594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2479873,"about_ca_topic_score_gemma":0.2268575,"domain_scores_codex":[0.9991906,0.0002024762,0.0001429129,0.0001771121,0.000163091,0.0001237807],"domain_scores_gemma":[0.9988437,0.0006702731,0.0002013398,0.0001087906,0.00008708763,0.00008877181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009089238,0.00003187365,0.9931555,0.0001038364,0.00004238969,0.0000150384,0.0004193098,0.0001487903,0.003096171,0.0006012379,0.0003253353,0.001151633],"study_design_scores_gemma":[0.0007324356,0.0002207855,0.9952884,0.0001050035,0.00003415217,0.000007314484,0.0004072481,0.001977889,0.0004301504,0.0004640696,0.000240288,0.00009222432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915929,0.00007623687,0.0007169995,0.0001084131,0.0000601001,0.0001684373,0.00009219879,0.000006650586,0.0071781],"genre_scores_gemma":[0.9987203,0.0001158794,0.000836586,0.000007366934,0.000007329227,3.671486e-8,0.0000359466,0.000002621959,0.0002739668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0211298,"threshold_uncertainty_score":0.7872503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00930343129155188,"score_gpt":0.1801382049742872,"score_spread":0.1708347736827354,"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."}}