{"id":"W6892137880","doi":"10.5061/dryad.jn81h","title":"Data from: Variation of xylem vessel diameters across a climate gradient: insight from a reciprocal transplant experiment with a widespread boreal tree","year":2015,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Xylem; Boreal; Taiga; Population; Altitude (triangle); Temperate climate; Climbing; Dendrochronology; Precipitation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000653096,0.000321953,0.0003904836,0.000251244,0.0005711453,0.0003872211,0.0005170795,0.0003961441,0.0009560234],"category_scores_gemma":[0.0004616102,0.000152032,0.00033463,0.0002522947,0.0005075625,0.0003009582,0.0002994758,0.000979124,0.0001484514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004674693,"about_ca_system_score_gemma":0.000288327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076007,"about_ca_topic_score_gemma":0.02401073,"domain_scores_codex":[0.9995458,0.00008194882,0.00003997719,0.0001806885,0.0001018423,0.00004963602],"domain_scores_gemma":[0.9986383,0.0003539466,0.0002763238,0.000219587,0.0001640659,0.0003477385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002757813,0.001143138,0.04233527,0.00004498555,0.0001008903,0.0002100582,0.0003898696,0.000224418,0.9491761,0.00005987052,0.0001835239,0.003374045],"study_design_scores_gemma":[0.0001775223,0.003559232,0.8886872,0.000006201991,0.0001834755,0.0003847226,0.0002947777,0.001931156,0.1032774,0.00006682914,0.001386125,0.00004541194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9991996,0.00001659845,0.0003283418,0.000007872454,0.000003917676,0.00001692124,0.0003086796,0.00001152726,0.0001065794],"genre_scores_gemma":[0.9958314,0.00003081845,0.001903372,0.00005600958,0.00000511875,0.00009420872,0.00129226,0.00003619845,0.000750666],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01076007,"threshold_uncertainty_score":0.02139485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04562690113776725,"score_gpt":0.2931895847628861,"score_spread":0.2475626836251189,"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."}}