{"id":"W1619663079","doi":"10.1111/j.1469-8137.2009.02856.x","title":"Genes and nitrogen fuel wood formation","year":2009,"lang":"en","type":"letter","venue":"New Phytologist","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Biotechnology; Natural resource economics; Human health; Productivity; Environmental health; Economic growth; Medicine; Economics","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":[0.0003127538,0.000362888,0.0003169336,0.0004933722,0.0006664244,0.001093264,0.0004576489,0.0009030461,0.009440182],"category_scores_gemma":[0.0003881975,0.0001758399,0.0003832933,0.0005715768,0.0006618355,0.000894957,0.0006633201,0.0006305721,0.002165761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006253812,"about_ca_system_score_gemma":0.0002576841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041487,"about_ca_topic_score_gemma":0.003138751,"domain_scores_codex":[0.9998388,0.00001694361,0.000006846243,0.00007547955,0.00003021707,0.00003166033],"domain_scores_gemma":[0.9998695,0.00003161839,0.00003171116,0.00001385947,0.00002471677,0.00002867262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00101712,0.0002309134,0.03780968,0.001153816,0.0004435082,0.002017501,0.001614507,0.00169807,0.3753312,0.1197663,0.02519208,0.4337253],"study_design_scores_gemma":[0.00008394987,0.0004169474,0.1533887,0.0004632194,0.0002447706,0.002380231,0.001804978,0.002260835,0.09931949,0.1184719,0.6209706,0.0001943929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6496998,0.1621869,0.02072885,0.01633724,0.00322031,0.00008134656,0.005019746,0.0009691563,0.1417567],"genre_scores_gemma":[0.8882385,0.02962428,0.008813458,0.001810835,0.0002914019,0.00005630946,0.002906945,0.000234625,0.06802361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009440182,"threshold_uncertainty_score":0.03158057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784094571820401,"score_gpt":0.2203249806309089,"score_spread":0.1924840349127049,"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."}}