{"id":"W2902625657","doi":"10.1016/j.ejpoleco.2019.01.003","title":"Quantity-cum-quality contests","year":2019,"lang":"en","type":"article","venue":"European Journal of Political Economy","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"CONTEST; Quality (philosophy); Production (economics); Unit (ring theory); Microeconomics; Constraint (computer-aided design); Dual (grammatical number); Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002153965,0.0001129627,0.0003375188,0.00007067994,0.0001487106,0.0001123145,0.0003805307,0.00002482799,0.0006683857],"category_scores_gemma":[0.0002030682,0.0001104625,0.0002468153,0.00004670335,0.000366915,0.0004374908,0.00009035105,0.0002254062,0.001429141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760781,"about_ca_system_score_gemma":0.0001417322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002626953,"about_ca_topic_score_gemma":0.00004517304,"domain_scores_codex":[0.9979503,0.0006415843,0.0006883059,0.0001496283,0.0001207615,0.0004493915],"domain_scores_gemma":[0.9987767,0.0002199465,0.0003127987,0.0001537174,0.0001457261,0.0003911244],"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":[0.00001566238,0.00006572971,0.05179689,0.000005283498,0.00003195572,0.00002400048,0.0009625981,6.266869e-7,0.0001320337,0.9461822,0.0005234645,0.0002595681],"study_design_scores_gemma":[0.004395609,0.001375702,0.2195118,0.0001607131,0.000102504,0.00007065982,0.040302,0.000007017863,0.001741382,0.03395724,0.6971917,0.001183757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4723985,0.00008934626,0.00002036708,0.002286988,0.0004083884,0.00006809794,0.000002839658,0.00001183956,0.5247136],"genre_scores_gemma":[0.9968241,0.000008792555,0.0003758511,0.001383752,0.0004830277,4.556406e-7,4.773381e-7,0.0000169277,0.0009065764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9122249,"threshold_uncertainty_score":0.9993483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06421628092183877,"score_gpt":0.3736879884940342,"score_spread":0.3094717075721954,"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."}}