{"id":"W3199380888","doi":"10.3386/w29239","title":"Flagship Entry in Online Marketplaces","year":2021,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; World Wide Web; Computer science; Commerce; Advertising; Internet privacy","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":[0.001695435,0.0003075891,0.0003578659,0.0008473219,0.00112887,0.003474114,0.0004954283,0.0009176816,0.0118302],"category_scores_gemma":[0.01067119,0.0002360122,0.0003919956,0.0008618515,0.001048786,0.005715484,0.001646445,0.001237672,0.0009802459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009135712,"about_ca_system_score_gemma":0.0004718241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003320698,"about_ca_topic_score_gemma":0.004696586,"domain_scores_codex":[0.9987368,0.0004860183,0.00004887441,0.0001225268,0.000316142,0.0002896728],"domain_scores_gemma":[0.9863539,0.005340374,0.005167215,0.000756149,0.0007204532,0.001661913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002077691,0.006711112,0.805142,0.0003170522,0.0001208169,0.002058401,0.00662575,0.005233835,0.003737551,0.03869313,0.004075465,0.1252072],"study_design_scores_gemma":[0.0005533548,0.005008276,0.8534108,0.0002701825,0.0002077986,0.00283915,0.02458441,0.04056906,0.00393112,0.04082089,0.02758386,0.0002210134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877666,0.0001147471,0.0008310838,0.0001321911,0.00001261773,0.00003496215,0.00006261547,0.00002189031,0.01102321],"genre_scores_gemma":[0.9985529,0.00004331015,0.0001918727,0.0000311017,0.000009343833,0.000006103678,0.00004257741,0.000002644512,0.00112018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0118302,"threshold_uncertainty_score":0.03957599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2628586800103887,"score_gpt":0.456565411379203,"score_spread":0.1937067313688143,"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."}}