{"id":"W3011328148","doi":"","title":"The Future of US Agricultural and Rural Development Policy: WHERE DO THE 2020 PRESIDENTIAL CANDIDATES STAND?","year":2020,"lang":"en","type":"article","venue":"IFPRI E-brary (International Food Policy Research Institute)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presidential system; Political science; Agriculture; Rural development; Economic growth; Regional science; Geography; Economics; Politics","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":[0.0003565508,0.0002329995,0.0002084823,0.00003303476,0.00101876,0.0005576657,0.001283309,0.0001103584,0.000113894],"category_scores_gemma":[0.0001818104,0.00007090651,0.0001214806,0.00063154,0.0004472411,0.0005326957,0.0007369576,0.0004253036,0.00003584038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224318,"about_ca_system_score_gemma":0.0003056342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003849661,"about_ca_topic_score_gemma":0.005854521,"domain_scores_codex":[0.9978635,0.0001660683,0.00044072,0.0003230249,0.0006369861,0.0005696962],"domain_scores_gemma":[0.9988657,0.0003109184,0.0001549795,0.00009624055,0.0002499865,0.0003221636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001047668,0.0002199848,0.02272635,0.000119024,0.001192761,0.00002061726,0.007060302,0.000195599,0.05115579,0.4693393,0.2322262,0.2146964],"study_design_scores_gemma":[0.0002603339,0.0002107174,0.2145774,0.00002846645,0.000004751756,0.00002562078,0.001146374,0.0000231921,0.001316092,0.00127677,0.7809489,0.000181414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756617,0.002401183,2.492358e-7,0.218448,0.0002058028,0.0003623615,0.0002516537,0.00002547731,0.002643603],"genre_scores_gemma":[0.9870789,0.003484488,0.00002079288,0.000550563,0.007697131,0.00004413836,0.0001135204,0.000002577088,0.001007896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5487227,"threshold_uncertainty_score":0.7835585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737944031645635,"score_gpt":0.2888657104769867,"score_spread":0.2614862701605303,"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."}}