{"id":"W2122472002","doi":"10.1139/x11-174","title":"Optimising stand management on peatlands: the case of northern Finland","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Ditch; Scots pine; Silviculture; Forest management; Environmental science; Boreal; Forestry; Taiga; Drainage; Agroforestry; Geography; Ecology; Pinus <genus>","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":[0.001130984,0.0003820939,0.0004468875,0.0006167978,0.0004157255,0.0007560203,0.0005025479,0.0004989816,0.0007864595],"category_scores_gemma":[0.002646638,0.0001563527,0.0004156025,0.000666946,0.0003254116,0.000495441,0.0003470361,0.0002225061,0.00007363775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148518,"about_ca_system_score_gemma":0.001051486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0257558,"about_ca_topic_score_gemma":0.04911596,"domain_scores_codex":[0.9997048,0.000122734,0.00001582185,0.00003936614,0.00003583043,0.00008140984],"domain_scores_gemma":[0.9990452,0.0006288667,0.0001314553,0.00004911939,0.00007518409,0.00007021535],"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":[0.0004790663,0.0002898846,0.07751012,0.0002662143,0.0002023456,0.001315712,0.0005255239,0.8625466,0.006673228,0.001684402,0.0002289359,0.04827792],"study_design_scores_gemma":[0.0001407416,0.001444114,0.2598474,0.00008178129,0.0003098933,0.0004217558,0.002152651,0.7216198,0.0066818,0.004818868,0.002383428,0.0000977762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979964,0.000128994,0.001076962,0.0000178746,0.000001637348,0.00001280575,0.00005248248,0.000005929519,0.0007069227],"genre_scores_gemma":[0.9969607,0.00009123653,0.002602451,0.000004159683,0.00000175216,0.00001062261,0.00007469253,0.000003906393,0.0002504108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0257558,"threshold_uncertainty_score":0.05121177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465880452440459,"score_gpt":0.3130401167423447,"score_spread":0.2664520714982987,"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."}}