{"id":"W4403804191","doi":"10.1080/21683565.2024.2419407","title":"Manure contribution to rural livelihoods at farm and landscape levels: a systemic approach in semi-arid Central Tunisia","year":2024,"lang":"en","type":"article","venue":"Agroecology and Sustainable Food Systems","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Consortium of International Agricultural Research Centers","keywords":"Livelihood; Arid; Geography; Agroforestry; Manure; Agriculture; Environmental science; Agronomy; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008703915,0.0001821598,0.0002118805,0.001530793,0.0004073985,0.001058428,0.0002246864,0.0001941336,0.001114457],"category_scores_gemma":[0.0009800713,0.0001045792,0.0002497023,0.002515106,0.0004994777,0.000519068,0.0008708962,0.0001953088,0.00007411552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726321,"about_ca_system_score_gemma":0.0007819489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05603459,"about_ca_topic_score_gemma":0.07966184,"domain_scores_codex":[0.9996809,0.0001340805,0.00002086604,0.00006731981,0.00002955479,0.00006732039],"domain_scores_gemma":[0.9995137,0.0001558716,0.0001899288,0.00002762274,0.0000718607,0.00004098765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004014833,0.00003637432,0.979844,0.00007004076,0.00009162583,0.0002234959,0.003802063,0.0005638326,0.0009172204,0.0005376036,0.0001168198,0.01375678],"study_design_scores_gemma":[0.000001758276,0.00003366846,0.9883556,0.00004231958,0.00002615816,0.00004818247,0.009292943,0.000957095,0.0001658393,0.0001897823,0.0008827453,0.000003984291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990151,0.0001329561,0.0001140113,0.00006249727,7.517185e-7,0.000005973648,0.0002370775,0.000001052885,0.0004305783],"genre_scores_gemma":[0.9995339,0.00007688925,0.0001249163,0.000009492413,0.000001231754,0.000007081299,0.0001175016,4.354783e-7,0.0001286648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05603459,"threshold_uncertainty_score":0.1114169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009170271801738829,"score_gpt":0.2160572283029514,"score_spread":0.2068869565012126,"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."}}