{"id":"W2115304976","doi":"10.1139/x10-006","title":"Assessing forest management strategies under a mountain pine beetle attack in Alberta: exploring the impacts","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western Forest Products; Natural Resources Canada","funders":"","keywords":"Mountain pine beetle; Forest management; Forest inventory; Revenue; Stock (firearms); Dendroctonus; Forest structure; Business; Environmental resource management; Forestry; Geography; Environmental science; Finance; Bark beetle","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001070868,0.0006155555,0.000367548,0.0006085389,0.0008600422,0.001543068,0.001316237,0.0009457682,0.001211251],"category_scores_gemma":[0.00226415,0.0002931908,0.0003073385,0.0007818987,0.0007133373,0.0006517761,0.0006971197,0.0005638244,0.0000881093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01824229,"about_ca_system_score_gemma":0.008436403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8725149,"about_ca_topic_score_gemma":0.9338907,"domain_scores_codex":[0.9993584,0.0001826357,0.00001601597,0.00005551592,0.0001407046,0.0002467947],"domain_scores_gemma":[0.9991676,0.0003013127,0.0001646808,0.00002829244,0.0001508768,0.0001872156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001117888,0.0007742018,0.2990895,0.00009926799,0.0002309364,0.001067827,0.0006785412,0.6676167,0.002715112,0.002521895,0.001087836,0.02300026],"study_design_scores_gemma":[0.0002122132,0.001619513,0.3182071,0.00004670726,0.0002504925,0.0001157883,0.005888236,0.6669295,0.002061842,0.002584402,0.00195901,0.00012537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971511,0.00008439885,0.0004173396,0.0001387833,0.000002527281,0.00003943167,0.0001817458,0.00001469017,0.001970018],"genre_scores_gemma":[0.9984056,0.0001129536,0.0005886058,0.00002731832,0.000001785591,0.000009340326,0.0001892206,0.000002166686,0.0006630011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274851,"threshold_uncertainty_score":0.2564717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09544940912630247,"score_gpt":0.3613880132374397,"score_spread":0.2659386041111373,"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."}}