{"id":"W4205275998","doi":"10.46692/9781847423610.013","title":"Twenty-first century employment and training in the countryside? The rural ‘New Deal’ experience","year":2008,"lang":"en","type":"other","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Rural area; Political science; Economic growth; Geography; Economics; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002739899,0.0002332166,0.0002102345,0.00001225409,0.0002648013,0.00009890051,0.0004672484,0.0001350183,0.001493886],"category_scores_gemma":[0.00002867432,0.00005332723,0.00005878591,0.0002336823,0.0001830562,0.00005219525,0.00009213689,0.0001778709,0.00001283783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004006954,"about_ca_system_score_gemma":0.0000318587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006513431,"about_ca_topic_score_gemma":0.01841926,"domain_scores_codex":[0.9987229,0.0001128613,0.0002091556,0.0002758587,0.0003162212,0.0003629825],"domain_scores_gemma":[0.9995364,0.0002196079,0.00007922504,0.000086386,0.00001285747,0.00006554108],"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":[0.00003597285,0.00007534187,0.04802492,0.00002127802,0.00002966869,0.00003795748,0.02826586,4.967717e-7,0.00006207127,0.001571876,0.7961434,0.1257311],"study_design_scores_gemma":[0.00007861946,0.00002903926,0.1285198,0.00003065359,0.000003150542,0.00001233101,0.02096969,0.00000136514,0.000002567355,0.0001887123,0.8499863,0.0001777533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6041349,0.004540357,0.000001630979,0.02405099,0.0004658214,0.002211864,0.0000215647,0.0002259597,0.3643469],"genre_scores_gemma":[0.5724962,0.006038841,0.00006680457,0.002518306,0.0007585254,0.0001349957,0.00007020113,0.0000122314,0.4179039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1255534,"threshold_uncertainty_score":0.999492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074379661250672,"score_gpt":0.2289929123537892,"score_spread":0.2082491157412825,"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."}}