{"id":"W4416811309","doi":"10.18356/9789211587609c002","title":"Acknowledgements","year":2025,"lang":"en","type":"book-chapter","venue":"Geneva timber and forest study papers","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Data collection; European commission; Information system; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005571364,0.0007046782,0.0009580275,0.002770564,0.002168921,0.003040778,0.002112587,0.001034817,0.4111757],"category_scores_gemma":[0.04235224,0.0002735957,0.0004736712,0.002721069,0.000792853,0.002489726,0.003093303,0.002640032,0.2707447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003115872,"about_ca_system_score_gemma":0.004983969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00717064,"about_ca_topic_score_gemma":0.009933328,"domain_scores_codex":[0.9940863,0.001046002,0.0003651139,0.0005868294,0.003647777,0.0002679577],"domain_scores_gemma":[0.9584866,0.004313761,0.0008068714,0.002479668,0.03097721,0.002935841],"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":[0.00003433672,0.00001308598,0.000204821,0.0001406984,0.000002204459,0.00009684161,0.0004296782,0.00005218288,0.0002206933,0.007602253,0.9634365,0.02776668],"study_design_scores_gemma":[0.000004667791,0.000004607061,0.0002741685,0.00009551593,0.000001723299,0.00007791301,0.0002628278,0.00002942671,0.00006613723,0.00133799,0.9978409,0.000004054975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003841315,0.005284504,0.01548105,0.08507025,0.09801967,0.001863334,0.07210825,0.003380306,0.7149512],"genre_scores_gemma":[0.01459916,0.002321568,0.01000385,0.01234295,0.006047948,0.00108201,0.02731999,0.003227374,0.9230552],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5888243,"threshold_uncertainty_score":0.8398864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009981946478337814,"score_gpt":0.230750458262337,"score_spread":0.2207685117839992,"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."}}