{"id":"W2807231393","doi":"","title":"Incorporating Fire Risk into Optimal Decisions in Forestry Using a No-Arbitrage Approach","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mean reversion; Arbitrage; Valuation (finance); Asset (computer security); Economics; Econometrics; Forestry; Actuarial science; Financial economics; Geography; Computer science; Finance","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":[0.006208396,0.001225559,0.002682006,0.0006112905,0.0007845213,0.002391593,0.001574969,0.002726883,0.00332702],"category_scores_gemma":[0.01597111,0.001406017,0.001272009,0.0006910217,0.002821737,0.004937158,0.002073028,0.002843761,0.0002128257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878072,"about_ca_system_score_gemma":0.002365288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003898195,"about_ca_topic_score_gemma":0.003524973,"domain_scores_codex":[0.9976854,0.001504139,0.00009474249,0.000239508,0.00024187,0.0002342604],"domain_scores_gemma":[0.991218,0.007676936,0.0004489843,0.0002098708,0.0001833625,0.0002627294],"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":[0.00009006729,0.00004494314,0.0004549141,0.00006025791,0.00006208508,0.0001418359,0.00006788645,0.8881304,0.0002190354,0.1053028,0.0002041777,0.005221616],"study_design_scores_gemma":[0.00003921879,0.00005933427,0.0001410279,0.00001462543,0.00002433268,0.00002503822,0.00001870415,0.8472716,0.00008612503,0.1519634,0.0003378998,0.00001867919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1251924,0.003273724,0.8579961,0.003281085,0.0002201986,0.00007925447,0.00009523388,0.000107293,0.00975474],"genre_scores_gemma":[0.9681295,0.001086508,0.02619508,0.0001357767,0.0001413398,0.00007109406,0.00002811609,0.00003106059,0.004181404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006208396,"threshold_uncertainty_score":0.03283352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021805772842215,"score_gpt":0.2524891456406679,"score_spread":0.2422710879122458,"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."}}