{"id":"W2648793671","doi":"10.18174/414173","title":"Farm sustainability data for better policy evaluation with FADN","year":2017,"lang":"en","type":"report","venue":"","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Sustainability; Business; Agricultural economics; Natural resource economics; 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":[0.02568006,0.001092399,0.001119403,0.009546943,0.0009427952,0.005038124,0.002958588,0.001556821,0.112705],"category_scores_gemma":[0.04928537,0.0007361454,0.00138465,0.0112406,0.0005677763,0.006255785,0.003942554,0.001989216,0.02538991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007461675,"about_ca_system_score_gemma":0.01182282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05159132,"about_ca_topic_score_gemma":0.03642328,"domain_scores_codex":[0.9859143,0.004939196,0.001825448,0.001162837,0.005299258,0.0008588908],"domain_scores_gemma":[0.9611127,0.009956887,0.002026162,0.0100061,0.01571064,0.001187504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006765628,0.0004156566,0.01305082,0.001427782,0.0001540043,0.0001325467,0.0005926564,0.008132237,0.000762254,0.04093325,0.7123869,0.2213353],"study_design_scores_gemma":[0.0001497919,0.0001087622,0.01056223,0.0008992699,0.00003403055,0.00004147587,0.0008273416,0.003995534,0.001108616,0.01466549,0.9675471,0.00006047228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00781146,0.0004914413,0.03116416,0.005841161,0.001003282,0.001945721,0.6944822,0.006836477,0.2504241],"genre_scores_gemma":[0.06526793,0.0008755412,0.1297147,0.001474275,0.0001235231,0.005183407,0.7495587,0.002254291,0.04554763],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.112705,"threshold_uncertainty_score":0.3770357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14778575095317,"score_gpt":0.3771190550066402,"score_spread":0.2293333040534702,"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."}}