{"id":"W3123886504","doi":"10.1002/soej.12185","title":"Experimenting with Contests for Experimentation","year":2017,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"University of Alaska Anchorage","keywords":"CONTEST; Innovator; Test (biology); Private information retrieval; Rent-seeking; Microeconomics; Economics; Outcome (game theory); Computer science; Political science; Computer security; Law; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0180984,0.001520794,0.001931003,0.0007264363,0.001192807,0.002759195,0.002938058,0.003422504,0.0141764],"category_scores_gemma":[0.06618763,0.0008526166,0.001365841,0.001193496,0.003149693,0.003603719,0.002326783,0.004801294,0.001210081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336869,"about_ca_system_score_gemma":0.001756954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005588087,"about_ca_topic_score_gemma":0.0006266046,"domain_scores_codex":[0.9837875,0.009714837,0.001236787,0.001873249,0.0019973,0.001390352],"domain_scores_gemma":[0.819342,0.1434985,0.01169037,0.0197047,0.002323967,0.003440554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.07765923,0.1059925,0.04542378,0.007056355,0.00240052,0.001481472,0.009138032,0.1366729,0.06752101,0.4033096,0.01924615,0.1240985],"study_design_scores_gemma":[0.04582167,0.09788454,0.03139061,0.000764336,0.001017033,0.0009300447,0.003084128,0.2770924,0.03933243,0.4324394,0.06960746,0.0006359888],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258441,0.0004320586,0.03916885,0.0013969,0.0004551873,0.004094472,0.001050413,0.0002677368,0.02729031],"genre_scores_gemma":[0.9523053,0.0002387949,0.03312146,0.0007824441,0.0001794291,0.008023811,0.0005229224,0.00007944767,0.004746288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0180984,"threshold_uncertainty_score":0.09571463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0624275397065968,"score_gpt":0.3911075495851841,"score_spread":0.3286800098785873,"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."}}