{"id":"W4387807178","doi":"10.2139/ssrn.4588941","title":"Demand Estimation with Text and Image Data","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Image (mathematics); Estimation; Econometrics; Computer science; Statistics; Information retrieval; Economics; Mathematics; Artificial intelligence","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":[0.0003808932,0.000650394,0.0004419092,0.002441907,0.0002123021,0.0007094002,0.0007071799,0.001023396,0.02096158],"category_scores_gemma":[0.004025123,0.0003149633,0.0007580763,0.002357796,0.0001651251,0.001052863,0.000518687,0.0004519443,0.01439537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003919919,"about_ca_system_score_gemma":0.0003248568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01553635,"about_ca_topic_score_gemma":0.01071799,"domain_scores_codex":[0.9996438,0.00009504912,0.00002373902,0.00008291052,0.00009751803,0.00005704626],"domain_scores_gemma":[0.9984902,0.0006629264,0.000128282,0.0002443509,0.0004257403,0.00004846087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00331673,0.002775829,0.08794446,0.000575314,0.000306008,0.0006406687,0.0001936962,0.1191477,0.03703783,0.002333207,0.04945471,0.6962739],"study_design_scores_gemma":[0.000149525,0.0003739114,0.09499484,0.00002900594,0.00008454781,0.0002027502,0.0002241705,0.8749877,0.01819989,0.001898551,0.008780416,0.00007472411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7955638,0.0003696085,0.1319668,0.0005065762,0.0001594026,0.0004108516,0.04901985,0.004953722,0.01704937],"genre_scores_gemma":[0.8748534,0.0001661111,0.05172291,0.00008642907,0.00009711478,0.0002926444,0.05807196,0.0002040962,0.01450524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02096158,"threshold_uncertainty_score":0.07012349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711249641911537,"score_gpt":0.251820722835743,"score_spread":0.2347082264166276,"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."}}