{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001436182,0.0003095638,0.0004212138,0.00001554586,0.0004447051,0.0003165595,0.001219882,0.0003191682,0.0004050894],"category_scores_gemma":[0.001136254,0.00008097629,0.0001302093,0.00007586084,0.00008924773,0.0002134368,0.0003868501,0.0001652618,0.00001695064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005544403,"about_ca_system_score_gemma":0.001080539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02287246,"about_ca_topic_score_gemma":0.01929004,"domain_scores_codex":[0.9980056,0.0000444593,0.0003310633,0.0007880543,0.0004002355,0.0004305296],"domain_scores_gemma":[0.9973716,0.0001876115,0.0004913889,0.0005161865,0.001310076,0.0001231457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002979028,0.00004983451,0.001391049,0.00007582565,0.00008810865,8.465771e-7,0.00001327175,0.000002482916,0.00006544375,0.0003838565,0.1382472,0.8596522],"study_design_scores_gemma":[0.0001128616,0.0001757838,0.05726505,0.00002363534,0.00009805067,0.00001240187,0.00007562356,0.0001272753,0.000009945869,0.002013599,0.9397244,0.0003613633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4533206,0.0005480141,0.00002192967,0.09877861,0.0009641572,0.009331531,0.0118167,0.0002358623,0.4249826],"genre_scores_gemma":[0.8266805,0.0007478333,0.0003179166,0.001513064,0.02099312,0.0006832076,0.04149517,0.000008859343,0.1075603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8592909,"threshold_uncertainty_score":0.9986054,"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."}}