{"id":"W2790911693","doi":"10.7202/1043693ar","title":"L’impact des normes de la Forest Law Enforcement, Governance and Trade sur la protection des forêts de l’Afrique centrale : étude à partir du cas du Cameroun","year":2018,"lang":"fr","type":"article","venue":"Les Cahiers de droit","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001023247,0.0002989889,0.000321618,0.00002598177,0.002150548,0.0002588374,0.0002173465,0.0004953214,0.0001034278],"category_scores_gemma":[0.0005162056,0.0003171774,0.000182319,0.0003126318,0.009289769,0.0005223833,0.00004512817,0.0004158319,0.000007631041],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004133445,"about_ca_system_score_gemma":0.0002407072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1657576,"about_ca_topic_score_gemma":0.2570664,"domain_scores_codex":[0.9974561,0.0004890656,0.0002558087,0.0003174123,0.000274592,0.001207004],"domain_scores_gemma":[0.9988766,0.0003963443,0.0001761174,0.000120711,0.00007089622,0.0003592713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008663955,0.0002060452,0.1958213,0.0001706794,0.0002602813,0.00006388929,0.19259,0.00009402577,0.0001769387,0.5838282,0.003851131,0.02285093],"study_design_scores_gemma":[0.001020355,0.0005545063,0.6374024,0.0002568482,0.0001834556,0.00009601736,0.006432388,0.0009019233,0.0008387493,0.1378212,0.213865,0.0006272244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445919,0.006404411,0.003749582,0.001262101,0.0002106828,0.0004068286,0.00005363555,0.0000817395,0.04323906],"genre_scores_gemma":[0.9820202,0.01287456,0.0004634486,0.0002384732,0.0008200372,0.00007532279,0.000002857259,0.00003478506,0.003470346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.446007,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279266494288316,"score_gpt":0.2379706179169767,"score_spread":0.2251779529740935,"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."}}