{"id":"W2131457023","doi":"10.1016/j.jenvman.2012.09.015","title":"Effects of considering greenhouse gas consequences on fertilizer use in loblolly pine plantations","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Economic Research Service; U.S. Environmental Protection Agency","keywords":"Greenhouse gas; Fertilizer; Environmental science; Bioenergy; Agroforestry; Fossil fuel; Production (economics); Agronomy; Biofuel; Engineering; Waste management; Ecology; Economics; Biology","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":[0.002835245,0.0005392627,0.0005402149,0.0002768634,0.001219764,0.002748643,0.001097047,0.002395767,0.003230364],"category_scores_gemma":[0.01022508,0.0003918734,0.001085785,0.0004599092,0.0007735367,0.001388548,0.0006549337,0.00125109,0.0001278548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006579884,"about_ca_system_score_gemma":0.004474119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1176869,"about_ca_topic_score_gemma":0.271391,"domain_scores_codex":[0.9985299,0.0006498892,0.00006885931,0.0001768633,0.0001252319,0.0004493172],"domain_scores_gemma":[0.9869985,0.009576192,0.001455519,0.000224893,0.0008595163,0.000885362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01462404,0.002482726,0.5634655,0.0001991586,0.001059969,0.003433708,0.0007527531,0.3761407,0.01501643,0.004317315,0.00175459,0.01675306],"study_design_scores_gemma":[0.0007005117,0.004278442,0.7490405,0.00006859999,0.001704078,0.0002603376,0.00548577,0.2081438,0.01847925,0.008223423,0.003381758,0.0002333831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981434,0.00005260086,0.0001146119,0.0002822983,0.00001356458,0.000009654424,0.0001080026,0.000007359745,0.001268442],"genre_scores_gemma":[0.9995068,0.00002625018,0.0001202532,0.00004903469,0.000004260474,0.000005199056,0.00005223859,0.000002743789,0.0002330763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1176869,"threshold_uncertainty_score":0.2340038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136479017727805,"score_gpt":0.224273758271497,"score_spread":0.2106258564987165,"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."}}