{"id":"W1448046594","doi":"10.19182/remvt.10120","title":"Déterminants de l’adoption des techniques de lutte contre l’érosion hydrique en zone cotonnière du Cameroun","year":2011,"lang":"fr","type":"article","venue":"Revue d’élevage et de médecine vétérinaire des pays tropicaux","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Political science; Forestry; Humanities; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001239804,0.0006931901,0.0007461941,0.0000995501,0.000792474,0.0002042398,0.0008427608,0.0008424047,0.0009623332],"category_scores_gemma":[0.0003736986,0.0003571112,0.00037061,0.0008397574,0.0006903671,0.0006173472,0.0003720527,0.00089637,0.0002336402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269832,"about_ca_system_score_gemma":0.000182349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0060842,"about_ca_topic_score_gemma":0.004801282,"domain_scores_codex":[0.9951754,0.00110406,0.0007441217,0.0008460674,0.0004050352,0.001725274],"domain_scores_gemma":[0.9980025,0.0004081205,0.000294843,0.0002670028,0.0003619438,0.0006655584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003422583,0.001331656,0.4499061,0.0006772744,0.0001179418,0.001589566,0.004762408,0.000005532771,0.1711441,0.007946884,0.00792348,0.3542528],"study_design_scores_gemma":[0.0006253892,0.00139486,0.9140106,0.001786306,0.0001098694,0.001596421,0.001180624,0.0001403825,0.02539838,0.004856991,0.04812636,0.000773743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703245,0.00424217,0.003662354,0.01388604,0.0002547385,0.001061607,0.0000683652,0.0003164569,0.006183757],"genre_scores_gemma":[0.9331654,0.03103597,0.01354467,0.0005858099,0.001292096,0.0001986849,0.0001031934,0.00002188314,0.02005229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4641045,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607214813394238,"score_gpt":0.2677434768328759,"score_spread":0.2416713286989335,"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."}}