{"id":"W3131719683","doi":"10.1038/s41467-020-20836-3","title":"Continent-wide tree fecundity driven by indirect climate effects","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; University of Toronto; Canada Research Chairs; Institut National de la Recherche Scientifique; University of Saskatchewan; Université du Québec en Abitibi-Témiscamingue","funders":"Belmont Forum; National Aeronautics and Space Administration; Agence Nationale de la Recherche; National Institute of Advanced Industrial Science and Technology; National Science Foundation","keywords":"Fecundity; Tree (set theory); Climate change; Biology; Ecology; Geography; Medicine; Environmental health; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007941293,0.0001977059,0.0003362364,0.0004148669,0.0002480645,0.0005428478,0.0002008699,0.000114437,0.003771167],"category_scores_gemma":[0.001795951,0.0001273919,0.0008203021,0.0003883785,0.0003571788,0.0003601771,0.0006091212,0.0002513823,0.0002046187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510284,"about_ca_system_score_gemma":0.0001857718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003040872,"about_ca_topic_score_gemma":0.006196918,"domain_scores_codex":[0.9998535,0.00004573089,0.000007051111,0.00005401484,0.00001491178,0.00002477306],"domain_scores_gemma":[0.9988064,0.0005592706,0.0002389045,0.0001716109,0.0001409354,0.00008291504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001155733,0.00001510345,0.9498574,0.0001800069,0.0008129709,0.0002992619,0.0005908048,0.004167579,0.02013563,0.002087813,0.000514469,0.02122333],"study_design_scores_gemma":[0.000003469744,0.00002151665,0.9947246,0.000009267886,0.0001536231,0.00009474814,0.0001169959,0.002489978,0.0006147885,0.0008858318,0.0008764839,0.00000872877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925861,0.0004467227,0.002144105,0.0001150978,0.00001228704,0.000005544827,0.0005077113,0.00004287562,0.004139576],"genre_scores_gemma":[0.9989551,0.0001143242,0.0003997177,0.00002391303,0.000006487056,0.000003504707,0.0002236018,0.0000165187,0.0002568979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003771167,"threshold_uncertainty_score":0.0126158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007385134189863608,"score_gpt":0.2616431946446268,"score_spread":0.2542580604547632,"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."}}