{"id":"W6957929524","doi":"10.6068/dp15043e9bb247","title":"TREND: United Nations Economic Commission for Europe. Forestry Statistics [Archive]: Growing Stock on Forest and Other Wooded Land | Country: Austria, Belarus, Bosnia and Herzegovina, Cyprus | Selection 1: Forest, 1990 - 2005. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 054-002-002","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Commonwealth; Stock (firearms); Recreation; Official statistics; Economic data; National accounts; Natural resource","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":[0.001344362,0.001716455,0.001773124,0.005396358,0.0006657855,0.002757693,0.002124316,0.001033157,0.05140501],"category_scores_gemma":[0.008539214,0.0008338952,0.0009734932,0.01992271,0.0002887457,0.00259619,0.001311211,0.002155936,0.05895659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002079505,"about_ca_system_score_gemma":0.004442751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1020169,"about_ca_topic_score_gemma":0.05269878,"domain_scores_codex":[0.9981178,0.0002110753,0.0003236076,0.0004411295,0.0006187965,0.0002875529],"domain_scores_gemma":[0.9936281,0.0008449144,0.001014043,0.000550898,0.00367655,0.0002854873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002264889,0.00001009462,0.0008316566,0.000221131,0.00001657246,0.000007947893,0.000010024,0.00009555184,0.00001455151,0.0003425694,0.9965324,0.001894699],"study_design_scores_gemma":[0.0001227321,0.00001711706,0.01809138,0.0005704525,0.00004000647,0.00002851705,0.0001504101,0.000231484,0.0001450279,0.0007181269,0.9798574,0.00002728069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001117076,0.00006734204,0.00004191187,0.00006891107,0.00004287241,0.00001374175,0.9986662,0.00005826456,0.0009290976],"genre_scores_gemma":[0.0004952491,0.0001301728,0.0001927936,0.00004998076,0.0000187055,0.00009014985,0.9978538,0.00005094764,0.001118124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1020169,"threshold_uncertainty_score":0.2028461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03503429059320635,"score_gpt":0.288306254287309,"score_spread":0.2532719636941027,"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."}}