{"id":"W4225508570","doi":"10.2139/ssrn.4054835","title":"Waiting for the Right Offer: Laboratory Evidence on How News Affects Bargaining and the Market for Lemons","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Business","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":[0.003410725,0.0005175928,0.0005943292,0.0004408903,0.0009933686,0.00307605,0.001126695,0.002284073,0.03023007],"category_scores_gemma":[0.01737506,0.0005539142,0.0003584317,0.0004014722,0.001983397,0.001596575,0.0008199223,0.002019569,0.002378143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007494665,"about_ca_system_score_gemma":0.0008156081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770141,"about_ca_topic_score_gemma":0.001502776,"domain_scores_codex":[0.9984362,0.0008586605,0.00005609602,0.0002540421,0.0002007625,0.000194251],"domain_scores_gemma":[0.9777092,0.01635892,0.003171261,0.001301114,0.0002857512,0.001173674],"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":[0.1396041,0.09101927,0.1139617,0.001646622,0.001541562,0.001615078,0.004819835,0.005582219,0.486474,0.06274497,0.009650213,0.08134037],"study_design_scores_gemma":[0.02549606,0.06637524,0.4541538,0.0004242609,0.002807349,0.001375493,0.01052884,0.04101019,0.2560908,0.1195725,0.02137782,0.0007875678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887583,0.0001585172,0.00038366,0.0006218794,0.0000809276,0.00004053546,0.0001241258,0.00001668111,0.009815311],"genre_scores_gemma":[0.993374,0.0001821672,0.0006627268,0.0006061055,0.00007120083,0.00007872785,0.0001521797,0.00004172887,0.004831141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03023007,"threshold_uncertainty_score":0.1011297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308760557061307,"score_gpt":0.3016674394069933,"score_spread":0.2785798338363802,"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."}}