{"id":"W2279575735","doi":"","title":"\"Soft\" measures in England and Wales","year":2015,"lang":"en","type":"book-chapter","venue":"Research Repository (University of Gloucestershire)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Agricultural extension; Work (physics); Productivity; Sustainable agriculture; Marketing; Environmental resource management; Economic growth; Economics; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006006777,0.0001694655,0.0003324459,0.00005549966,0.0002239793,0.00005131266,0.0004060113,0.0003120719,0.00007972245],"category_scores_gemma":[0.00001880742,0.00008773679,0.00008885015,0.0000716998,0.0003669114,0.0001634677,0.000260945,0.0004136377,0.0000270884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500456,"about_ca_system_score_gemma":0.00005393996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003247484,"about_ca_topic_score_gemma":0.008415778,"domain_scores_codex":[0.9987209,0.0001130059,0.0001615102,0.0003565642,0.0003637979,0.0002841591],"domain_scores_gemma":[0.9991142,0.0002193852,0.0001336545,0.00008825191,0.0002299727,0.0002145699],"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":[0.001593088,0.0003070445,0.01490662,0.0005745418,0.0005181535,0.001333152,0.01156307,0.00001735452,0.05409417,0.05108925,0.02382008,0.8401835],"study_design_scores_gemma":[0.0004536279,0.0006629241,0.02464359,0.0003429892,0.00002448799,0.0000497945,0.001298913,0.00002641067,0.00007276124,0.003351021,0.9686376,0.0004358168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7948696,0.002043595,7.364761e-8,0.0006090299,0.00004924191,0.0002199133,0.00004207401,0.00001826165,0.2021482],"genre_scores_gemma":[0.7469923,0.0008460757,0.00001006857,0.00000638132,0.0001912149,2.582113e-7,0.00003754058,0.000001769676,0.2519143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9448176,"threshold_uncertainty_score":0.4909246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148646856190122,"score_gpt":0.2534826196066763,"score_spread":0.1386179339876641,"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."}}