{"id":"W1543323043","doi":"10.4000/vertigo.12402","title":"La forêt guyanaise, entre valorisation et protection des ressources écosystémiques","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political 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":[0.0003863033,0.0006344955,0.0003420633,0.0009598681,0.002593766,0.003049223,0.0005202132,0.001362599,0.01049025],"category_scores_gemma":[0.0005665065,0.0002949158,0.0003387938,0.001706101,0.001608728,0.0009786969,0.002299413,0.001035986,0.001527691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00332016,"about_ca_system_score_gemma":0.003449258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09445145,"about_ca_topic_score_gemma":0.1805428,"domain_scores_codex":[0.9995228,0.0001130453,0.0000126253,0.000108898,0.00007199099,0.0001706778],"domain_scores_gemma":[0.9995273,0.0001091625,0.00008798381,0.00006469836,0.00009788428,0.0001129222],"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":[0.001806091,0.0002209785,0.1664495,0.004658756,0.0004800522,0.01520676,0.03400232,0.003468862,0.1779901,0.1263211,0.06022404,0.4091714],"study_design_scores_gemma":[0.0000318935,0.0002466257,0.300823,0.0005231369,0.0000670956,0.002600695,0.00743081,0.0003722314,0.005551774,0.002923003,0.6793405,0.00008907477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6413023,0.05944688,0.01299166,0.01510837,0.00084742,0.0002459854,0.003050553,0.0008913755,0.2661155],"genre_scores_gemma":[0.860406,0.009352783,0.006028627,0.001518162,0.00008894417,0.0001121906,0.001315769,0.0001187551,0.1210588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09445145,"threshold_uncertainty_score":0.1878034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03586961596242916,"score_gpt":0.2596294257622088,"score_spread":0.2237598097997796,"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."}}