{"id":"W7084769298","doi":"10.5281/zenodo.16894676","title":"Data from 'Spatiotemporal variability of dendroecological indicators in pedunculate oak (Quercus robur L.) tree-rings across Europe in relation to species distribution models'","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prince Albert Grand Council","funders":"","keywords":"Quercus robur; Calibration; Climate change; Quercus petraea; Sensitivity (control systems); Distribution (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":[0.0009098527,0.0004521885,0.0005132684,0.001566268,0.0002523431,0.0008164085,0.0006810442,0.000467749,0.02676443],"category_scores_gemma":[0.003847161,0.0003054101,0.000684999,0.003612119,0.0001203663,0.0005205979,0.0006802937,0.0005470925,0.013214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892562,"about_ca_system_score_gemma":0.0007157053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03696005,"about_ca_topic_score_gemma":0.05543824,"domain_scores_codex":[0.9993655,0.00007650644,0.0000756154,0.0001553156,0.0002650208,0.00006197009],"domain_scores_gemma":[0.9964892,0.001033256,0.0003569221,0.0005038086,0.001410424,0.0002064074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000292005,0.0001231476,0.04870146,0.001370921,0.0002320466,0.0001421178,0.0004038092,0.005525263,0.001706118,0.001380111,0.9104983,0.02962477],"study_design_scores_gemma":[0.0001807761,0.00005736348,0.2111156,0.0002890602,0.00009450761,0.0001000681,0.0002643033,0.001578433,0.001722422,0.0008824672,0.7836437,0.00007131088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006826679,0.0001104372,0.0005457875,0.0001127161,0.00005134451,0.00001804539,0.988239,0.0004727766,0.003623043],"genre_scores_gemma":[0.01721048,0.0001503072,0.001494451,0.0000695401,0.00001590941,0.00008488001,0.9775168,0.0002286486,0.003228966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03696005,"threshold_uncertainty_score":0.08953589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04261325188984918,"score_gpt":0.2715071481798912,"score_spread":0.2288938962900421,"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."}}