{"id":"W7084266997","doi":"","title":"Preface","year":2020,"lang":"en","type":"article","venue":"TU/e Research Portal","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Anna University; University of Waterloo; University of California, Irvine; Universität Salzburg; Aalborg Universitet; Dalhousie University; Oulun Yliopisto; Technische Universiteit Eindhoven; Università degli Studi di Padova; University of Twente; University of Wollongong","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002443307,0.00007507035,0.0001018577,0.000004756062,0.0001806901,0.00007591472,0.000286226,0.00005415151,0.003596986],"category_scores_gemma":[0.00008300706,0.00002360857,0.00006251318,0.0002882656,0.00006132781,0.0001019243,0.000136763,0.0002279615,0.001080604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009034975,"about_ca_system_score_gemma":0.0000128633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003685809,"about_ca_topic_score_gemma":0.000191403,"domain_scores_codex":[0.9989737,0.00005713416,0.0001285706,0.0002297506,0.0002149245,0.0003959725],"domain_scores_gemma":[0.9994589,0.00009689454,0.00002558088,0.00003125242,0.00006485854,0.0003225056],"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":[0.00008280131,0.0001274815,0.01176096,0.00002227967,0.00004567478,0.00009689137,0.0007420441,0.00001292634,0.3885517,0.0211065,0.4567913,0.1206595],"study_design_scores_gemma":[0.0001373853,0.0005859764,0.1258042,0.000007255221,0.000002803499,0.00001284037,0.001037362,0.0002103331,0.004379195,0.0007327399,0.8668253,0.0002646058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931043,0.00008161576,1.266176e-7,0.02091195,0.00002249399,0.0001515877,0.0000364053,0.00004984246,0.04770303],"genre_scores_gemma":[0.9971842,0.00006410298,0.0000129929,0.0005261893,0.0008592674,0.00001060337,0.00004821523,5.667762e-7,0.00129391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4100341,"threshold_uncertainty_score":0.9996971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1660190786066445,"score_gpt":0.3403468583275054,"score_spread":0.1743277797208609,"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."}}