{"id":"W2948062104","doi":"10.1139/cjfr-2018-0514","title":"Economics of mixed-species forestry with ecosystem services","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thinning; Forest management; Ecosystem services; Valuation (finance); Revenue; Forest ecology; Ecosystem; Cover (algebra); Forestry; Agroforestry; Ecology; Environmental science; Environmental resource management; Economics; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001146265,0.0007052278,0.0004736305,0.0005744937,0.0006701806,0.002036222,0.00111074,0.001154388,0.006423785],"category_scores_gemma":[0.002172306,0.0004709999,0.0006794322,0.0008941627,0.001525336,0.003507188,0.001053038,0.001079384,0.0003556845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003916907,"about_ca_system_score_gemma":0.001431782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495492,"about_ca_topic_score_gemma":0.01663978,"domain_scores_codex":[0.9992484,0.0003612542,0.00002302612,0.0000784622,0.0001250692,0.0001637029],"domain_scores_gemma":[0.9992881,0.0003022678,0.0001395983,0.00009042747,0.00004794617,0.0001316376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008876984,0.00005869506,0.002156672,0.00005889748,0.00003653486,0.0003518185,0.00006408681,0.196754,0.0006375582,0.7905655,0.001308884,0.007918647],"study_design_scores_gemma":[0.00005703186,0.0001016238,0.004927501,0.00006824505,0.00004259574,0.0004151549,0.0002313694,0.3229895,0.0004068427,0.6632503,0.007472828,0.00003697434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.574683,0.003205122,0.2579453,0.006168759,0.0001137969,0.0001911387,0.00197784,0.0002031256,0.1555119],"genre_scores_gemma":[0.986684,0.000465509,0.005349457,0.0001107624,0.00002202862,0.00004283942,0.0001084959,0.00001165556,0.007205164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9850451,"threshold_uncertainty_score":0.02973574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001763099963861,"score_gpt":0.2436207436396554,"score_spread":0.2236031126400168,"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."}}