{"id":"W2109872468","doi":"10.2139/ssrn.2600653","title":"Mobile Device Access: Effect on Online Purchases","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Mobile device; Internet privacy; Advertising; Computer science; World Wide Web","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":[0.0006167776,0.00027202,0.0003644198,0.0004780614,0.000343157,0.001492149,0.0003085998,0.001132087,0.02741318],"category_scores_gemma":[0.00774469,0.0002316694,0.00109864,0.0007104354,0.0004689951,0.0009863089,0.000718912,0.001279698,0.001196696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375273,"about_ca_system_score_gemma":0.0004431824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00921879,"about_ca_topic_score_gemma":0.007448531,"domain_scores_codex":[0.9995415,0.0001966198,0.00002425529,0.000069471,0.00004198619,0.0001261853],"domain_scores_gemma":[0.9825743,0.01409335,0.001094824,0.0002712917,0.0002916715,0.001674603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05553593,0.006753007,0.8890883,0.0003569254,0.0008534974,0.0009341894,0.001447465,0.001471372,0.008588422,0.001089323,0.001276847,0.03260474],"study_design_scores_gemma":[0.0001770955,0.003617641,0.9918551,0.00002760159,0.0004782186,0.0001205855,0.0008322551,0.001230216,0.0007442553,0.0003303892,0.0005650848,0.00002143761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973248,0.0003035277,0.00002720884,0.0001615168,0.00001572055,0.000005712635,0.0002869657,0.000007190358,0.001867312],"genre_scores_gemma":[0.9973774,0.0001753917,0.00003111512,0.00003630001,0.00002819223,0.000005187504,0.0001250854,0.000004571778,0.002216672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02741318,"threshold_uncertainty_score":0.09170628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103503636603055,"score_gpt":0.4309167821226657,"score_spread":0.3205664184623602,"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."}}