{"id":"W2481865304","doi":"10.14288/1.0094251","title":"A procedure for economic analysis in forest resource planning at the operational level : a case study on the Seymour River resource folio of the Kamloops forest district","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Folio; Resource (disambiguation); Geography; Environmental resource management; Environmental science; History; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01217965,0.0004574923,0.0004108147,0.00145199,0.004391069,0.003763043,0.001331464,0.00121956,0.003431577],"category_scores_gemma":[0.0178475,0.0004890558,0.0007572413,0.002748077,0.00347654,0.002600143,0.00249912,0.002825825,0.000458191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005412924,"about_ca_system_score_gemma":0.009253768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409927,"about_ca_topic_score_gemma":0.03648461,"domain_scores_codex":[0.9927022,0.005549141,0.0002504787,0.0001948445,0.0009936565,0.0003095044],"domain_scores_gemma":[0.9901311,0.008121539,0.0002580807,0.0005003437,0.00089169,0.00009708995],"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":[0.0001119619,0.000657771,0.007360017,0.0003107346,0.00002593183,0.002608521,0.01289351,0.07559603,0.002657962,0.6189396,0.008680838,0.270157],"study_design_scores_gemma":[0.0001883608,0.00113988,0.01105563,0.0009093184,0.0001208191,0.001840719,0.03687621,0.5161446,0.00854213,0.2116747,0.2111221,0.0003854804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2349235,0.0002882503,0.662172,0.003898948,0.0000948511,0.004847441,0.0003355178,0.0002815252,0.09315798],"genre_scores_gemma":[0.2227667,0.0003295097,0.7660151,0.0001287702,0.00001712496,0.002324799,0.000135735,0.00007679385,0.008205531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9759007,"threshold_uncertainty_score":0.06441295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145904577929356,"score_gpt":0.2002775393146108,"score_spread":0.1856870815216752,"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."}}