{"id":"W2963415638","doi":"10.3390/f10080622","title":"Local Adaptation and Response of Platycladus orientalis (L.) Franco Populations to Climate Change","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Platycladus; Local adaptation; Climate change; Habitat; Latitude; Ecology; Population; Geography; Biology; Forestry; Botany","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":[0.0004469161,0.0004055515,0.0001885906,0.0003274048,0.0002288822,0.0002800115,0.0002287331,0.0001999561,0.0002930994],"category_scores_gemma":[0.0004942486,0.00008458288,0.0003460587,0.0001957074,0.0002509154,0.0001927454,0.0002184842,0.0001647172,0.0000551146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006515706,"about_ca_system_score_gemma":0.0001691468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02194035,"about_ca_topic_score_gemma":0.03962451,"domain_scores_codex":[0.999826,0.00004048416,0.000009801149,0.00008555871,0.00001354623,0.00002464869],"domain_scores_gemma":[0.9998006,0.00006527677,0.00004936761,0.00002915468,0.00002909602,0.00002648288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001770994,0.00007827167,0.9079779,0.00004539211,0.0001375425,0.000330694,0.0005156244,0.01567583,0.06037334,0.0001613447,0.0001084485,0.01441848],"study_design_scores_gemma":[0.00000514438,0.00006905539,0.9854499,0.000003762396,0.00003147735,0.0000854719,0.0002563552,0.01285002,0.001014816,0.0000655577,0.000156261,0.00001221576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997264,0.00001494368,0.000144036,0.000002680148,4.68665e-7,0.000001459541,0.00003073935,0.000004116968,0.00007512759],"genre_scores_gemma":[0.999702,0.00001241087,0.0001556197,0.00000364405,4.609308e-7,0.000003064004,0.00008311097,0.000001950458,0.00003764158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02194035,"threshold_uncertainty_score":0.0436253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485948799287751,"score_gpt":0.2710642659974122,"score_spread":0.2262047780045347,"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."}}