{"id":"W2182271121","doi":"10.5751/es-03811-160107","title":"Production Flexibility in Extensive Beef Farming Systems","year":2011,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Flexibility (engineering); Production (economics); Productivity; Agricultural science; Forage; Herd; Agriculture; Business; Product (mathematics); Agroforestry; Environmental science; Economics; Ecology; Biology; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003483836,0.00006524083,0.0001083138,0.000003134714,0.0001879133,0.000009315537,0.00006044441,0.0001308999,0.00009159451],"category_scores_gemma":[0.00002913279,0.00002167727,0.0000360692,0.0001396741,0.0000852283,0.00007903934,0.00004997579,0.0001376115,0.00001688957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002471396,"about_ca_system_score_gemma":0.000006171063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002722411,"about_ca_topic_score_gemma":0.0004287275,"domain_scores_codex":[0.9993423,0.00006507573,0.0001135964,0.0002241705,0.00005927436,0.0001955781],"domain_scores_gemma":[0.9998104,0.00004826706,0.00002840211,0.00002130782,0.00005272438,0.00003892895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004986844,0.0003160177,0.878432,0.00004804016,0.00005513059,0.00001701261,0.008976703,0.000003100738,0.07265246,0.002362466,0.01674441,0.02034274],"study_design_scores_gemma":[0.00004436395,0.00006399983,0.9942641,0.000005372439,0.000002143225,0.00001114314,0.003425456,0.00001277911,0.0005744983,0.000506287,0.001021549,0.00006832321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974727,0.0001600399,4.267037e-7,0.000839213,0.0001740716,0.0002015876,0.000001288931,0.00002253269,0.001128138],"genre_scores_gemma":[0.9982153,0.0002096686,0.00005842885,0.0001047116,0.00009689368,0.00002280862,0.000009364466,2.284306e-7,0.001282613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115832,"threshold_uncertainty_score":0.1445296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943883256097663,"score_gpt":0.2458567088615875,"score_spread":0.2064178763006109,"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."}}