{"id":"W4293173224","doi":"10.2139/ssrn.4085705","title":"Data Collection by an Informed Seller","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Pooling; Private information retrieval; Value (mathematics); Microeconomics; Data collection; Product (mathematics); Business; Consumer information; Information asymmetry; Economics; Marketing; Computer science","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":[0.0437711,0.001097587,0.00202775,0.002082029,0.002244192,0.004031153,0.002559567,0.003110291,0.09259801],"category_scores_gemma":[0.1074994,0.001836191,0.001034794,0.002467003,0.001786884,0.003346557,0.003190697,0.002660296,0.04623408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628033,"about_ca_system_score_gemma":0.009008272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002481518,"about_ca_topic_score_gemma":0.002254107,"domain_scores_codex":[0.9562374,0.02514792,0.005716863,0.006436057,0.004743273,0.001718543],"domain_scores_gemma":[0.890644,0.04092621,0.00524323,0.04401545,0.01611128,0.003059928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03030239,0.005713244,0.1051337,0.004786943,0.000675729,0.004048178,0.01240574,0.006233795,0.01929916,0.08637347,0.277824,0.4472035],"study_design_scores_gemma":[0.004178126,0.004065592,0.03039429,0.002094283,0.0005543394,0.001757715,0.005737009,0.02204672,0.02286237,0.05598829,0.850036,0.0002852464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1730649,0.001673738,0.4338269,0.01768892,0.0034449,0.1405796,0.07637035,0.002111132,0.1512396],"genre_scores_gemma":[0.3460996,0.001407019,0.3036053,0.007131908,0.001730385,0.1581687,0.02587573,0.0007565113,0.1552248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09259801,"threshold_uncertainty_score":0.3097712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08889502632967547,"score_gpt":0.3909958734702664,"score_spread":0.3021008471405909,"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."}}