{"id":"W3045724849","doi":"10.3390/g11030029","title":"Signalling, Information and Consumer Fraud","year":2020,"lang":"en","type":"article","venue":"Games","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; University of Toronto; Universidad de Alicante","keywords":"Private information retrieval; Microeconomics; Adverse selection; Quality (philosophy); Information asymmetry; Business; Price discrimination; Consumer welfare; Product (mathematics); Perfect information; Signaling game; Economics; Welfare; Computer security","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":[0.008302014,0.0006523579,0.00126593,0.001277405,0.001097073,0.0047744,0.001430796,0.004297331,0.003093994],"category_scores_gemma":[0.04205138,0.0006380283,0.000961796,0.001217717,0.006514153,0.005495538,0.002153845,0.00284544,0.0002775294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003105841,"about_ca_system_score_gemma":0.001589711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615864,"about_ca_topic_score_gemma":0.0007657986,"domain_scores_codex":[0.9927757,0.00423218,0.0003564389,0.0005085287,0.001186818,0.0009403781],"domain_scores_gemma":[0.9471569,0.0382361,0.009123933,0.003190574,0.00164615,0.0006464326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008549429,0.0003174616,0.006534892,0.0003781512,0.0001469243,0.0007263959,0.001127573,0.0934002,0.00415134,0.8646716,0.001430199,0.02626037],"study_design_scores_gemma":[0.0002433976,0.0002339482,0.00304401,0.0001284872,0.00008579988,0.0004410031,0.0003932543,0.1544225,0.00199901,0.836504,0.002406203,0.00009845827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7876068,0.001831104,0.151597,0.007939442,0.000113411,0.0002094769,0.0002660974,0.00009476027,0.050342],"genre_scores_gemma":[0.9949056,0.0002653992,0.003289793,0.0001628507,0.00002594166,0.0000277108,0.00001604794,0.000004015036,0.001302707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008302014,"threshold_uncertainty_score":0.04390579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08059804839120042,"score_gpt":0.3406249421971663,"score_spread":0.2600268938059659,"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."}}