{"id":"W4390035542","doi":"10.3390/f15010013","title":"Evaluating Coastal Douglas Fir Growth Responses to Nitrogen Application Using Tree Ring Chronologies","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Dendrochronology; Douglas fir; Nutrient; Environmental science; Sampling (signal processing); Statistics; Forestry; Ecology; Mathematics; Biology; Computer science; Geography","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":[0.001266114,0.0003619577,0.0002286549,0.0004146104,0.000224736,0.0003062594,0.0002733047,0.0002302998,0.0003066612],"category_scores_gemma":[0.001608741,0.0001568031,0.0001848466,0.0003211443,0.0001202846,0.0002512131,0.0002161377,0.0002203688,0.000108443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003995154,"about_ca_system_score_gemma":0.000249833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007667347,"about_ca_topic_score_gemma":0.02854867,"domain_scores_codex":[0.999588,0.0001158102,0.0000354659,0.0001179047,0.0001145817,0.00002819085],"domain_scores_gemma":[0.9983741,0.0004290854,0.0005091627,0.0001485348,0.0004004884,0.0001386689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001480449,0.000314846,0.6285884,0.00008133349,0.0001323098,0.00007939881,0.0002450209,0.002260225,0.3486924,0.00004968636,0.0001070632,0.01796884],"study_design_scores_gemma":[0.00000892704,0.0008224595,0.9736117,0.000002898235,0.00002625978,0.00002812238,0.00007216261,0.002963138,0.02216961,0.00001261907,0.0002736922,0.000008425981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977311,0.0000544283,0.001435408,0.000003389832,0.000003824431,0.00003849682,0.0003183472,0.00001785727,0.0003971784],"genre_scores_gemma":[0.9925789,0.00007667341,0.005999092,0.00001777153,0.000005004447,0.00008828464,0.0006298537,0.000009769987,0.000594684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007667347,"threshold_uncertainty_score":0.01524544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07822590477627406,"score_gpt":0.3365270006159183,"score_spread":0.2583010958396443,"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."}}