{"id":"W991981978","doi":"","title":"Чистая приведенная стоимость как индикатор экономической эффективности в лесном хозяйстве","year":2015,"lang":"ru","type":"article","venue":"Вестник Томского государственного педагогического университета","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Revenue; Logging; Reforestation; Net present value; Business; Investment (military); Forest management; Net profit; Forestry; Net income; Profit (economics); Context (archaeology); Environmental resource management; Natural resource economics; Finance; Economics; Geography; Production (economics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004346624,0.004623268,0.00369303,0.001758084,0.001969148,0.002127837,0.006937359,0.002410313,0.05132116],"category_scores_gemma":[0.001520874,0.004761533,0.002027657,0.005445579,0.003955596,0.004223512,0.005865816,0.003637054,0.1913618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003610669,"about_ca_system_score_gemma":0.001199967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009736412,"about_ca_topic_score_gemma":0.002430984,"domain_scores_codex":[0.9740222,0.001648866,0.004689293,0.005685173,0.006307249,0.007647205],"domain_scores_gemma":[0.984103,0.0007372242,0.002347325,0.006579035,0.0004806025,0.005752869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001086166,0.002595473,0.03761181,0.0005712804,0.0009642552,0.001624929,0.005967428,0.003479821,0.002095563,0.008941541,0.8953462,0.03971551],"study_design_scores_gemma":[0.00908903,0.002360282,0.02237142,0.0007368487,0.001321269,0.0005454633,0.001779424,0.007013581,0.002223549,0.005720465,0.9399135,0.006925143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2379661,0.007025181,0.0007142929,0.01481308,0.01334394,0.006470731,0.001214528,0.002771623,0.7156805],"genre_scores_gemma":[0.7720113,0.001457713,0.003034114,0.007927077,0.005318806,0.000483333,0.0007885165,0.0011284,0.2078508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5340452,"threshold_uncertainty_score":0.9993302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899764160028371,"score_gpt":0.2523218680323679,"score_spread":0.2233242264320842,"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."}}