{"id":"W3130379414","doi":"","title":"Gains from Convenience and the Value of E-commerce","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Quarter (Canadian coin); Value (mathematics); Business; Advertising; E-commerce; Online and offline; Marketing; Commerce; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001668684,0.000238182,0.0006384272,0.0002539764,0.0001719518,0.0002976437,0.0006520096,0.0001655267,0.00009416939],"category_scores_gemma":[0.000742136,0.0002036391,0.0001508498,0.0001547867,0.001104381,0.0001882855,0.0043204,0.001007209,0.000006704713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154194,"about_ca_system_score_gemma":0.0001394844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005590721,"about_ca_topic_score_gemma":0.00303184,"domain_scores_codex":[0.9980564,0.0001185311,0.0005280045,0.0006518811,0.0002501639,0.0003950481],"domain_scores_gemma":[0.9978338,0.0008178315,0.000282907,0.0008629129,0.0001854227,0.00001709056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001473959,0.0001065684,0.709174,0.0003742961,0.0002116143,0.00003030138,0.0007321716,0.0001750446,0.0001131724,0.006738808,0.00002420289,0.2821724],"study_design_scores_gemma":[0.003383782,0.00001140887,0.9366688,0.0009316853,0.0002050448,0.000003236919,0.01015744,0.02168245,0.00006522577,0.002998349,0.02303807,0.0008544756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656314,0.000998572,0.000002085791,0.001226785,0.0003061721,0.0005376263,0.00001260297,0.00001878279,0.03126597],"genre_scores_gemma":[0.9935842,0.005597503,0.0001039314,0.000136006,0.0001280092,0.0001287602,0.00003381286,0.00003329395,0.0002545056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2813179,"threshold_uncertainty_score":0.8451534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05365664198570877,"score_gpt":0.3134311830290969,"score_spread":0.2597745410433882,"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."}}