{"id":"W4242006042","doi":"10.5558/tfc2014-156","title":"Forests without Borders / Forêts sans Frontières","year":2014,"lang":"fr","type":"article","venue":"The Forestry Chronicle","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forestry; Geography; Environmental science","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":[0.001391716,0.0006934693,0.0005257617,0.002718452,0.004574626,0.004907208,0.0004734615,0.001095766,0.02048495],"category_scores_gemma":[0.00147767,0.0001958567,0.0002842073,0.004460522,0.001755807,0.002207546,0.00127745,0.001348227,0.001521069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005094441,"about_ca_system_score_gemma":0.006734625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1757528,"about_ca_topic_score_gemma":0.2546443,"domain_scores_codex":[0.998749,0.0004008276,0.00005267887,0.0001461646,0.0002364301,0.0004149021],"domain_scores_gemma":[0.998715,0.0004988391,0.0001965368,0.0001173835,0.0002562405,0.0002159222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001632277,0.0001207027,0.01820954,0.0009603194,0.00004398084,0.0006764047,0.008763025,0.0005658203,0.001313562,0.5361949,0.2313959,0.2015928],"study_design_scores_gemma":[0.000005329199,0.00001668095,0.02894565,0.0002643512,0.000006376075,0.0002208183,0.002560165,0.00006471942,0.00016546,0.004176186,0.963563,0.00001130456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09008037,0.2178037,0.001206251,0.02580348,0.004344899,0.00005367575,0.003882794,0.0001718671,0.6566528],"genre_scores_gemma":[0.6704299,0.08286134,0.002379092,0.00388552,0.004017871,0.0001442543,0.003911933,0.0001848717,0.2321851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1757528,"threshold_uncertainty_score":0.3494595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049949539202003,"score_gpt":0.2729779356321845,"score_spread":0.2524784402401645,"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."}}