{"id":"W2345689368","doi":"","title":"Deforestation in Cameroon : causes and effects on cereal yields, population vulnerability and response through reforestation and other policies","year":2014,"lang":"en","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Forestry; Geography; Political science; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007839578,0.0003248735,0.0001749541,0.0005189189,0.0003207616,0.0004309653,0.0001347556,0.0002099039,0.002088637],"category_scores_gemma":[0.001247556,0.0001304113,0.0003417316,0.000900829,0.0003229416,0.0004506207,0.0003556613,0.0002626211,0.0001080015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065207,"about_ca_system_score_gemma":0.0008256099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04586767,"about_ca_topic_score_gemma":0.07801992,"domain_scores_codex":[0.9996873,0.0001411041,0.00001165168,0.00003743535,0.00001324599,0.0001092453],"domain_scores_gemma":[0.9992406,0.0002228124,0.0003124996,0.00003579317,0.000085014,0.0001032745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002117817,0.0000435951,0.9877831,0.00008050854,0.00009865195,0.0003092746,0.0005351431,0.0005212781,0.0007363103,0.0004146057,0.0001877257,0.009078061],"study_design_scores_gemma":[0.000002243455,0.00003480876,0.9986873,0.00001899064,0.00001908509,0.00004429023,0.0004192102,0.0002242649,0.00007686928,0.00006032239,0.0004099521,0.000002719206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997051,0.001534136,0.0001119551,0.000290974,0.000009108459,0.00000920181,0.0003178275,0.000002576967,0.0006730321],"genre_scores_gemma":[0.9983174,0.0009763722,0.0001077513,0.00004127506,0.000007543109,0.000008568013,0.0001449789,0.000001305535,0.000394827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04586767,"threshold_uncertainty_score":0.09120142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008514224475695735,"score_gpt":0.1984695414062395,"score_spread":0.1899553169305438,"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."}}