{"id":"W2033097492","doi":"10.3188/szf.2009.s0065","title":"Aire et gestion des ressources en chêne du canton de Vaud: dossier d'un avenir immédiat | Resource management and distribution area of oak in canton Vaud: an issue for the immediate future","year":2009,"lang":"en","type":"article","venue":"Schweizerische Zeitschrift fur Forstwesen","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts","funders":"","keywords":"Forestry; Geography; Biodiversity; Hectare; Forest management; Altitude (triangle); Resource (disambiguation); Ecology; Agroforestry; Environmental science; Archaeology; Biology; Agriculture; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001541104,0.0003505641,0.0003220082,0.0001270824,0.00041222,0.00009788179,0.000520318,0.0002113157,0.0002483731],"category_scores_gemma":[0.00009541024,0.000266148,0.0001008452,0.0006044582,0.0003014445,0.0005091641,0.0002249095,0.0003066998,0.00002225845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007441918,"about_ca_system_score_gemma":0.00001570659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341363,"about_ca_topic_score_gemma":0.001431236,"domain_scores_codex":[0.9976874,0.0002631329,0.0004509799,0.0005167425,0.0004020053,0.0006797268],"domain_scores_gemma":[0.9989247,0.000150467,0.0002264285,0.0004942795,0.00001889392,0.0001852506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002573794,0.00102269,0.2740887,0.0005925808,0.0003471528,0.0001144844,0.03885954,0.0147389,0.005282337,0.01609921,0.08581244,0.5604682],"study_design_scores_gemma":[0.001096544,0.0002706536,0.5992099,0.00007257667,0.0000978652,0.00001007453,0.0009732062,0.003229704,0.001021445,0.0004262516,0.3932833,0.0003085266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802458,0.0007439297,0.0003322701,0.01031411,0.0001101375,0.001160306,0.0001570616,0.00006972014,0.006866623],"genre_scores_gemma":[0.994692,0.00160891,0.001078851,0.0004649373,0.0003444969,0.0001053279,0.0003068167,0.00003467833,0.001364025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5601597,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007220325524343415,"score_gpt":0.2307592373481661,"score_spread":0.2235389118238227,"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."}}