{"id":"W2040916997","doi":"10.1002/ece3.426","title":"Intraspecific variation buffers projected climate change impacts on<i>Pinus contorta</i>","year":2013,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia","funders":"U.S. Forest Service; Deutsche Forschungsgemeinschaft","keywords":"Pinus contorta; Intraspecific competition; Climate change; Variation (astronomy); Pinus <genus>; Ecology; Environmental science; Physical geography; Biology; Geography; Botany; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001393191,0.0001157417,0.0001128042,0.00003613773,0.0002225794,0.0000290078,0.00006295878,0.0001413478,0.0207825],"category_scores_gemma":[0.00004427383,0.0001045739,0.00002468436,0.0001451493,0.0001355004,0.0002961044,0.00005494516,0.0001000389,0.003976227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005857896,"about_ca_system_score_gemma":0.000004792772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007259826,"about_ca_topic_score_gemma":0.001037804,"domain_scores_codex":[0.9990994,0.0000621092,0.0001444648,0.000245527,0.0001033147,0.0003451219],"domain_scores_gemma":[0.9996591,0.00003470803,0.00007804678,0.0001152841,0.00001521379,0.00009769292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001630567,0.0005130515,0.8860331,0.00003531432,0.00003517836,0.000009405307,0.002662163,0.00001018488,0.02322964,0.01701308,0.06668756,0.003608308],"study_design_scores_gemma":[0.0003836876,0.0002006316,0.9970069,0.000004395833,0.000008963727,0.000008725112,0.0004220041,0.0002166848,0.00007017065,0.0002917478,0.001266984,0.0001191279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98229,0.00003045367,0.00001533326,0.001179546,0.0003670385,0.0004867738,0.00003099504,0.00007785837,0.01552198],"genre_scores_gemma":[0.9988129,0.000161834,0.0000151839,0.0006069693,0.00007346557,0.0001610432,0.00007241672,0.000006665423,0.00008956393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1109738,"threshold_uncertainty_score":0.9967993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862113869511961,"score_gpt":0.224715325973901,"score_spread":0.2060941872787814,"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."}}