{"id":"W2118098583","doi":"","title":"Geography and Electronic Commerce: Measuring Convenience, Selection, and Price","year":2007,"lang":"en","type":"preprint","venue":"The Faculty Digital Archive (New York University)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Purchasing; Product (mathematics); Selection (genetic algorithm); Business; Competition (biology); Channel (broadcasting); Advertising; The Internet; Marketing; Online and offline; Computer science; World Wide Web; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002253208,0.0003376753,0.0002787466,0.0006671887,0.0005370181,0.0006632689,0.000442452,0.00009892638,0.00002084534],"category_scores_gemma":[0.00003211695,0.000304853,0.0001307301,0.0006434509,0.0002517744,0.0006672975,0.001471382,0.0007210128,0.00001300046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004724503,"about_ca_system_score_gemma":0.00008707673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001753158,"about_ca_topic_score_gemma":0.0005350152,"domain_scores_codex":[0.9985706,0.00002050668,0.0001736469,0.0005074858,0.0002427243,0.000485102],"domain_scores_gemma":[0.9992997,0.0001210887,0.0002207244,0.0002162524,0.00008824553,0.00005397635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005797764,0.0001327975,0.8542813,0.0004810537,0.0005391478,0.00004364269,0.001130342,0.0001205901,0.000107346,0.02896277,0.003230222,0.110391],"study_design_scores_gemma":[0.001058948,0.0000287391,0.4288882,0.0002423952,0.000540932,0.00002612901,0.001129342,0.0005937108,0.000008679051,0.009178665,0.5573733,0.000931002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917772,0.0002817647,0.00404576,0.0004060602,0.0001374697,0.0005488511,0.0000577625,0.000233747,0.0765166],"genre_scores_gemma":[0.9975452,0.00009832323,0.00008324407,0.0001818051,0.0002042288,9.364729e-7,0.0001570666,0.00002599824,0.0017032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5541431,"threshold_uncertainty_score":0.9999403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750134666111855,"score_gpt":0.2077674926116701,"score_spread":0.1802661459505515,"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."}}