{"id":"W4226507030","doi":"10.3280/ecag2021oa12756","title":"FADN data to support policymaking: The potential of an additional survey","year":2022,"lang":"en","type":"article","venue":"ECONOMIA AGRO-ALIMENTARE","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Gross margin; Hectare; Revenue; Payment; Agricultural science; Business; Certification; Direct Payments; Agricultural economics; Margin (machine learning); Balance sheet; Agriculture; Organic farming; Economics; Finance; Geography; Environmental science; Computer science; Profitability index","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":[0.07707391,0.0006491622,0.001354411,0.006418565,0.0008317509,0.004077884,0.00215826,0.002060697,0.01258948],"category_scores_gemma":[0.2035818,0.0006091601,0.000660591,0.008008231,0.0006723061,0.004355402,0.004380816,0.001714825,0.002097397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004450162,"about_ca_system_score_gemma":0.008595918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02766234,"about_ca_topic_score_gemma":0.02876042,"domain_scores_codex":[0.8766656,0.09958897,0.00844411,0.003743474,0.009488945,0.002068902],"domain_scores_gemma":[0.5445921,0.3128133,0.03174992,0.05516643,0.04971389,0.005964342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003715783,0.001627774,0.3350607,0.004808851,0.0009691959,0.0007451081,0.003801831,0.01446178,0.002026635,0.02900112,0.09141482,0.5123665],"study_design_scores_gemma":[0.0007678866,0.001969443,0.32653,0.004945615,0.0004096286,0.0004923831,0.008934453,0.03907011,0.003261706,0.0262006,0.5870573,0.0003608844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4279095,0.005333154,0.1513592,0.04075309,0.005431443,0.01116034,0.1819965,0.001408634,0.1746481],"genre_scores_gemma":[0.7695861,0.00194406,0.1414541,0.009462486,0.001025841,0.007992719,0.05386006,0.000190248,0.01448441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07707391,"threshold_uncertainty_score":0.4076107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07593392555317285,"score_gpt":0.2720147013832869,"score_spread":0.1960807758301141,"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."}}