{"id":"W3110667825","doi":"10.1016/j.eja.2020.126210","title":"Multidimensional assessment demonstrates sustainability of new low-input viticulture systems in north-eastern France","year":2020,"lang":"en","type":"article","venue":"European Journal of Agronomy","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"ASTER","funders":"Conseil Régional d'Alsace; Institut National de la Recherche Agronomique","keywords":"Sustainability; Agriculture; Sustainable agriculture; Cropping; Vine; Viticulture; Business; Cropping system; Quality (philosophy); Agricultural engineering; Agricultural science; Environmental science; Environmental resource management; Environmental economics; Wine; Engineering; Geography; Economics","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":[0.0009758752,0.0003118496,0.0003464661,0.001577939,0.0007599436,0.002925988,0.0004705606,0.0005951342,0.0013464],"category_scores_gemma":[0.0008834036,0.0001385054,0.0004882984,0.001336917,0.000762161,0.0007021186,0.001097541,0.0002095883,0.0001172092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006584898,"about_ca_system_score_gemma":0.001014978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08492051,"about_ca_topic_score_gemma":0.1367012,"domain_scores_codex":[0.9992409,0.0002587911,0.00003220705,0.0001651159,0.000160401,0.000142665],"domain_scores_gemma":[0.9994459,0.0001797987,0.00008362005,0.00006056189,0.0001671212,0.00006302115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001297781,0.000360678,0.70896,0.0002757396,0.0006571662,0.001034057,0.00347776,0.1191192,0.03646286,0.005056701,0.0005677437,0.1227303],"study_design_scores_gemma":[0.00002781885,0.0002966818,0.9538854,0.00003121741,0.00009278337,0.00008185059,0.002913885,0.03497045,0.003054617,0.0006893533,0.003924099,0.00003179461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997833,0.00008240591,0.0004322856,0.00002697458,7.491396e-7,0.00000933068,0.00008768233,0.00001541465,0.001512261],"genre_scores_gemma":[0.9989466,0.00003676475,0.0005160883,0.000003701215,7.240606e-7,0.000005191119,0.000086972,0.000002766079,0.0004012456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08492051,"threshold_uncertainty_score":0.1688524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006796117974726674,"score_gpt":0.2043266883753319,"score_spread":0.1975305704006052,"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."}}