{"id":"W2036312665","doi":"10.1002/rcm.4876","title":"Is wood pre‐treatment essential for tree‐ring nitrogen concentration and isotope analysis?","year":2011,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada; Institut National de la Recherche Scientifique","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Nitrogen; Beech; Dendrochronology; Ring (chemistry); Isotope; Isotopes of nitrogen; Botany; Organic chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001024611,0.0004861087,0.0005533227,0.0002637058,0.0004770974,0.0007981362,0.0005221397,0.0008088532,0.002079693],"category_scores_gemma":[0.001271907,0.000395283,0.0003758083,0.0003179025,0.0007408854,0.0009997641,0.0003406405,0.0006952325,0.0009443141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091543,"about_ca_system_score_gemma":0.0004346676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007857572,"about_ca_topic_score_gemma":0.003208424,"domain_scores_codex":[0.9993961,0.0001319488,0.00004732117,0.0002214564,0.0001219843,0.0000811789],"domain_scores_gemma":[0.998973,0.0003220268,0.0002124373,0.0001883564,0.0002187107,0.00008537092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002119074,0.00004926197,0.004100155,0.000277756,0.00004051403,0.00006912468,0.0000541247,0.00006515001,0.9817744,0.0001628043,0.0001562093,0.0130385],"study_design_scores_gemma":[0.00003274715,0.001078949,0.148466,0.0001443778,0.0002803022,0.0005419002,0.0003348282,0.0009970664,0.8265945,0.0008480347,0.0206229,0.00005843136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951345,0.02042997,0.07194764,0.001078787,0.001295385,0.0003165577,0.001259135,0.0004643404,0.008073769],"genre_scores_gemma":[0.9338939,0.006947575,0.05104396,0.001555511,0.0002419708,0.0003456175,0.001858384,0.0004426586,0.003670477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002079693,"threshold_uncertainty_score":0.006957293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985701401185786,"score_gpt":0.2825825944435037,"score_spread":0.2427255804316458,"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."}}