{"id":"W7104374134","doi":"10.5281/zenodo.17552996","title":"DÉGRADATION DES TERRES ET LES IMPLICATIONS SOCIOÉCONOMIQUES DANS LA RÉGION NORD DU BURKINA FASO.","year":2023,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Forest regeneration; Cote d ivoire; Nova scotia","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":[],"consensus_categories":[],"category_scores_codex":[0.001451779,0.0002853732,0.0002294962,0.001497161,0.001380179,0.001643421,0.000168396,0.0003433696,0.001037018],"category_scores_gemma":[0.001795313,0.0001803932,0.0001863876,0.003173354,0.0006416747,0.0007745443,0.00068897,0.0002270557,0.0001215231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002666886,"about_ca_system_score_gemma":0.001655885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.22248,"about_ca_topic_score_gemma":0.3973857,"domain_scores_codex":[0.9994419,0.0002214676,0.00004817224,0.00007474858,0.0001135257,0.0001001528],"domain_scores_gemma":[0.9988409,0.0002602702,0.0004072859,0.00004397488,0.0003814598,0.00006603546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002227549,0.00005272004,0.8590015,0.001067627,0.000164464,0.001445528,0.02284014,0.001089783,0.007595651,0.0008894666,0.0006391014,0.1049914],"study_design_scores_gemma":[0.000004492947,0.0001198381,0.9467367,0.0004387178,0.000087456,0.0006143315,0.02919712,0.0002906735,0.001032285,0.0003667869,0.02108551,0.00002612375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729662,0.02002046,0.0006289437,0.0005353105,0.00001648039,0.00005277212,0.001569479,0.000006863546,0.004203482],"genre_scores_gemma":[0.9889186,0.007172804,0.001394678,0.0000881365,0.000008201624,0.00004053562,0.0005410339,0.000002535008,0.001833364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22248,"threshold_uncertainty_score":0.4423702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05696847665348367,"score_gpt":0.2623682114214422,"score_spread":0.2053997347679586,"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."}}