{"id":"W2947008143","doi":"10.22004/ag.econ.307065","title":"Market Facilitation Program: Impact on Nebraska Corn and Soybean Producers","year":2018,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Agricultural economics; Agricultural science; Agronomy; Economics; Environmental science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109645,0.0003296005,0.0001212059,0.0005646292,0.002161171,0.001592642,0.0007927763,0.0009634409,0.03210714],"category_scores_gemma":[0.002387642,0.0001706375,0.0002315069,0.0004295496,0.0004268804,0.0007726921,0.001222498,0.0009023512,0.002335368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003409128,"about_ca_system_score_gemma":0.005619978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06571145,"about_ca_topic_score_gemma":0.1773607,"domain_scores_codex":[0.9993642,0.0001325608,0.000009510572,0.00005907967,0.0002578572,0.0001768835],"domain_scores_gemma":[0.998526,0.0003606811,0.0002009702,0.00004526479,0.0003506622,0.0005164578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002459354,0.00718503,0.07998174,0.0006463503,0.00008538649,0.003551799,0.003153417,0.001411075,0.02122904,0.02304313,0.5243701,0.3328835],"study_design_scores_gemma":[0.0006510613,0.002917579,0.1574414,0.0002048893,0.00007239083,0.0003766834,0.008829574,0.002820006,0.005568015,0.00322311,0.8178259,0.00006945478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4813684,0.001514455,0.001374561,0.02672724,0.0007270629,0.0008757266,0.002395305,0.001254556,0.4837627],"genre_scores_gemma":[0.8549177,0.001438882,0.002853992,0.01010113,0.000269208,0.000512791,0.002348368,0.0001070203,0.1274509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06571145,"threshold_uncertainty_score":0.1306579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510570218337443,"score_gpt":0.2199053583493626,"score_spread":0.2047996561659881,"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."}}