{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009721974,0.0002820801,0.0003422978,0.002171668,0.0003948925,0.00127611,0.0003627588,0.0005080306,0.003419825],"category_scores_gemma":[0.01263673,0.000196867,0.0004495553,0.005453186,0.001305627,0.001468643,0.0009874527,0.0003441226,0.0005161316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005656419,"about_ca_system_score_gemma":0.0002830815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006233681,"about_ca_topic_score_gemma":0.008650494,"domain_scores_codex":[0.9988244,0.0006322006,0.00009700057,0.0001204102,0.0002522257,0.00007368809],"domain_scores_gemma":[0.9850613,0.005967805,0.006336446,0.001080325,0.0007582778,0.0007958548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008417626,0.00007657351,0.9897885,0.00003496745,0.00009420428,0.00009935712,0.0004898784,0.0009065712,0.0003361987,0.0009861218,0.0001737492,0.006929656],"study_design_scores_gemma":[0.000008113249,0.0000984614,0.995701,0.00001044319,0.00004261425,0.0001886825,0.000749176,0.001231612,0.0002738834,0.0007882173,0.0008907552,0.00001703318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933767,0.000218386,0.0009791761,0.00009416605,0.000003497295,0.00002479257,0.0003939551,0.0000113478,0.004897943],"genre_scores_gemma":[0.9988798,0.00009909098,0.0005443526,0.00001091134,0.000006328333,0.0000113439,0.0002230389,0.000002994589,0.0002220651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006233681,"threshold_uncertainty_score":0.01239485,"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."}}