{"id":"W4293063709","doi":"10.33915/etd.11176","title":"Black walnut plantations in West Virginia: Maximizing financial returns through decision modeling and cash flow analysis","year":2022,"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":"McGill University","keywords":"Net present value; Cash flow; Stumpage; Thinning; Internal rate of return; Discounted cash flow; Revenue; Financial analysis; Yield (engineering); Agricultural economics; Agricultural science; Mathematics; Ranking (information retrieval); Present value; Forest product; Sowing; Economics; Business; Forestry; Environmental science; Geography; Finance; Production (economics); Forest management; Computer science; Agronomy; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001017608,0.0006580161,0.0004254869,0.001080059,0.0005495952,0.002237763,0.0008486321,0.0006649526,0.001119082],"category_scores_gemma":[0.001448097,0.0004405586,0.0003925851,0.0006783301,0.0003471902,0.0009155065,0.0005666885,0.0004145607,0.0001149541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005068996,"about_ca_system_score_gemma":0.003415372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08663303,"about_ca_topic_score_gemma":0.1685625,"domain_scores_codex":[0.9996271,0.000162325,0.000009283394,0.0000461561,0.0000469515,0.0001081563],"domain_scores_gemma":[0.9991873,0.0004833299,0.0001148054,0.00001993878,0.0001013824,0.00009328649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007590056,0.00007396661,0.008162865,0.0000161573,0.00001683198,0.0001313614,0.00005355766,0.9813912,0.000611468,0.002018243,0.0002431059,0.007205401],"study_design_scores_gemma":[0.00001189474,0.0000552205,0.001578273,0.000009798575,0.00001159589,0.000009770245,0.0001168993,0.9963438,0.000304281,0.001015007,0.0005348455,0.000008629359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769111,0.0001229079,0.01482474,0.0002294691,0.000006549403,0.0001446722,0.0001914005,0.000071388,0.007497752],"genre_scores_gemma":[0.988894,0.0001262652,0.008707065,0.00002220643,0.000003117691,0.00004004946,0.0000947745,0.00001088339,0.002101631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08663303,"threshold_uncertainty_score":0.1722575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009026022832764487,"score_gpt":0.2532416994058227,"score_spread":0.2442156765730582,"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."}}