{"id":"W2610560257","doi":"10.1016/j.dib.2017.04.049","title":"Buyer and seller data from pay what you want and name your own price laboratory markets","year":2017,"lang":"en","type":"article","venue":"Data in Brief","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Society for the History of Medicine; Deutsche Forschungsgemeinschaft","keywords":"Price discrimination; Monopoly; Value (mathematics); Microeconomics; Business; Service (business); Marketing; Pricing strategies; Ask price; Advertising; Economics; Computer science; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.0008135044,0.0001197616,0.0001957809,0.00002231169,0.0006508837,0.0009170477,0.001395913,0.00007648437,0.0001394997],"category_scores_gemma":[0.0002887223,0.0001052581,0.00000587642,0.0000316962,0.0005589416,0.003842479,0.003413117,0.0001267614,0.00003012206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004836707,"about_ca_system_score_gemma":0.00007192051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0177197,"about_ca_topic_score_gemma":0.009838988,"domain_scores_codex":[0.9987423,0.00008165131,0.0001731542,0.0006212856,0.0001384571,0.0002431569],"domain_scores_gemma":[0.9979229,0.0000831568,0.000127316,0.001741514,0.00002268094,0.0001024259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007999072,0.0002035133,0.8837969,0.00001928144,0.00008236749,0.0000709388,0.0221247,4.580172e-8,0.0009249983,0.0008630154,0.06088145,0.03095277],"study_design_scores_gemma":[0.0006429894,0.00001246188,0.4576196,0.00006926825,0.00002485813,6.444093e-7,0.01513624,0.00006204627,0.00008559526,0.0003968571,0.5256282,0.0003212045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817529,0.005090422,0.000001128259,0.003984557,0.0005572694,0.000241926,0.005043969,0.00002342504,0.00330441],"genre_scores_gemma":[0.9811029,0.0158167,0.0009745804,0.0004356732,0.0002527767,0.000011426,0.0009868179,0.00002008181,0.0003990175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4647468,"threshold_uncertainty_score":0.9888214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042601774706624,"score_gpt":0.3756005034869244,"score_spread":0.271340326016262,"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."}}