{"id":"W7111859243","doi":"","title":"NAREA AWARDS","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Procurement; Underemployment; Character (mathematics); Empirical evidence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005501142,0.001138885,0.001775173,0.003688897,0.003305464,0.007561315,0.003188111,0.003167323,0.5559659],"category_scores_gemma":[0.01628055,0.000425012,0.001088659,0.001727084,0.0008474139,0.002546104,0.007177775,0.003046455,0.3422191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004872323,"about_ca_system_score_gemma":0.01006537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004303438,"about_ca_topic_score_gemma":0.01496113,"domain_scores_codex":[0.9938082,0.0005621212,0.0002322142,0.0007336751,0.003681164,0.0009826345],"domain_scores_gemma":[0.9769872,0.0006897586,0.0004207011,0.0009576597,0.01085445,0.01009025],"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":[0.00004521148,0.000043842,0.0002461614,0.00006031265,0.000005184014,0.00007898291,0.00003655989,0.00005073606,0.0001386431,0.005755183,0.9463698,0.04716936],"study_design_scores_gemma":[0.000008383087,0.00001801364,0.000442047,0.00004165983,0.00000236035,0.00007676275,0.000052279,0.00006107891,0.00005624928,0.0009657925,0.9982703,0.000005085211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002345268,0.007455784,0.002638114,0.09260212,0.1187668,0.0006515537,0.007435884,0.001503298,0.7666012],"genre_scores_gemma":[0.005889996,0.002207311,0.001237686,0.00650315,0.006774629,0.0001648245,0.002367502,0.0003804064,0.9744745],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5559659,"threshold_uncertainty_score":0.6333607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04744519342371225,"score_gpt":0.2145724936123115,"score_spread":0.1671273001885992,"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."}}