{"id":"W4313417802","doi":"10.1111/1746-692x.12376","title":"Prospects for Agroecology in Europe","year":2022,"lang":"en","type":"article","venue":"EuroChoices","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","keywords":"Agroecology; Agriculture; Incentive; Sustainable agriculture; Business; Attractiveness; Context (archaeology); Natural resource economics; Food systems; Agricultural economics; Agricultural science; Economics; Food security; Geography; Market economy; Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001723223,0.0001047295,0.0001281223,0.00001181037,0.0002692773,0.00002759621,0.0002975882,0.00002388877,0.000461493],"category_scores_gemma":[0.00006449535,0.00003669168,0.00003468092,0.000533082,0.00001284346,0.00006404198,0.0001725127,0.000119521,0.00003367003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003599421,"about_ca_system_score_gemma":0.000008638357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004153792,"about_ca_topic_score_gemma":0.0007211127,"domain_scores_codex":[0.9990463,0.00007583981,0.0001674852,0.000282837,0.0001495416,0.0002780513],"domain_scores_gemma":[0.9996592,0.0001516601,0.00006953994,0.00002866464,0.00004435093,0.00004653367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005864031,0.001648228,0.5642677,0.00007774874,0.00007847259,0.0002115323,0.001874725,0.000425287,0.08470325,0.03774841,0.1710488,0.1373294],"study_design_scores_gemma":[0.0001537004,0.0002463197,0.5732501,0.000001916825,0.000002199951,0.000007160738,0.0001273158,0.00001067319,0.0003009893,0.001392591,0.4243893,0.0001177801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959338,0.0001809453,5.873814e-7,0.001057917,0.000280822,0.0004215701,0.00003026097,0.00006302893,0.002031116],"genre_scores_gemma":[0.995364,0.00002070862,0.0001001652,0.0008766361,0.000194325,0.0002501101,0.0001145284,0.00000112317,0.003078415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2533405,"threshold_uncertainty_score":0.5053025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440034629308749,"score_gpt":0.2077934749200705,"score_spread":0.193393128626983,"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."}}