{"id":"W7162013340","doi":"10.82308/28922","title":"Development of a method to determine tree species nutritional standards from natural variation in tree growth and leaf chemistry","year":2003,"lang":"en","type":"dissertation","venue":"","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutrient; Basal area; Maple; Crown (dentistry); Tree (set theory); Aceraceae","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005076312,0.0009169159,0.0009770003,0.003524326,0.0008982153,0.001330203,0.001518685,0.0007294929,0.002700705],"category_scores_gemma":[0.008920443,0.0006982464,0.0006984011,0.002094465,0.0005482895,0.0009451668,0.001297946,0.001351493,0.002424235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133044,"about_ca_system_score_gemma":0.003526269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01622227,"about_ca_topic_score_gemma":0.03630348,"domain_scores_codex":[0.9971801,0.0003639047,0.0002089845,0.0006854524,0.001436869,0.0001247418],"domain_scores_gemma":[0.9942517,0.001347043,0.0004775152,0.0005946237,0.003163025,0.0001660523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003035941,0.0003283153,0.07596784,0.0004488425,0.0001859947,0.0001201957,0.0007183544,0.007831667,0.2910793,0.004855501,0.005580081,0.6125804],"study_design_scores_gemma":[0.0002107183,0.001455124,0.2158355,0.0002462842,0.0004258596,0.001502901,0.001114937,0.3195073,0.362585,0.0096727,0.08689398,0.0005496855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02282817,0.0002202988,0.9704714,0.00005624471,0.00005699048,0.0005081546,0.001266652,0.002390885,0.002201246],"genre_scores_gemma":[0.0440099,0.0002326222,0.9507377,0.00005078071,0.00001742108,0.001053894,0.001180298,0.0003343784,0.002382949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01622227,"threshold_uncertainty_score":0.03225571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007368085974512337,"score_gpt":0.2421197253285028,"score_spread":0.2347516393539905,"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."}}