{"id":"W3121659682","doi":"10.3390/g4020243","title":"Unraveling Results from Comparable Demand and Supply: An Experimental Investigation","year":2013,"lang":"en","type":"article","venue":"Games","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Economics; Supply and demand; Econometrics; Mathematical economics; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01053165,0.001178997,0.001595063,0.0005226944,0.0009304929,0.00205653,0.002170841,0.00253545,0.009505277],"category_scores_gemma":[0.04832537,0.0008616581,0.0009312366,0.0007252524,0.00303623,0.003121394,0.001831271,0.003383311,0.0009644052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115356,"about_ca_system_score_gemma":0.001234406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005833513,"about_ca_topic_score_gemma":0.0004519454,"domain_scores_codex":[0.994534,0.002782109,0.0005044079,0.0009124472,0.0007955356,0.0004714328],"domain_scores_gemma":[0.8990141,0.07891748,0.007104051,0.01140222,0.001628306,0.001933812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.1364545,0.2315023,0.03110401,0.005611324,0.002009229,0.001821253,0.006084464,0.02636994,0.266158,0.1555542,0.01160616,0.1257246],"study_design_scores_gemma":[0.06333677,0.2096752,0.05300474,0.0006141129,0.002335575,0.00187953,0.002939996,0.1321506,0.1135843,0.394385,0.02528414,0.0008101114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778217,0.0003249315,0.01145746,0.0008108013,0.0001756539,0.001022547,0.0003723256,0.00008413847,0.00793057],"genre_scores_gemma":[0.9798626,0.0003174276,0.01305726,0.0005854618,0.0001339985,0.001850789,0.0002870116,0.00007791535,0.003827594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01053165,"threshold_uncertainty_score":0.05569732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047398975985639,"score_gpt":0.3608270077600512,"score_spread":0.2560871101614873,"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."}}