{"id":"W2014266113","doi":"10.5539/cis.v6n1p32","title":"Consumer Perceived Risk and Risk Relievers in E-shopping in Pakistan","year":2012,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Risk perception; Risk analysis (engineering); Medicine; Perception; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008092475,0.0001302645,0.0002386115,0.0005782146,0.0008970824,0.001364058,0.0001877394,0.0006023352,0.002675799],"category_scores_gemma":[0.002950728,0.0001615584,0.000279881,0.001147932,0.0005660407,0.0005777147,0.0002774833,0.0009420948,0.00015522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154263,"about_ca_system_score_gemma":0.001403641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.047786,"about_ca_topic_score_gemma":0.04385052,"domain_scores_codex":[0.9996356,0.0000969795,0.0000391137,0.0000274926,0.0001294831,0.00007133369],"domain_scores_gemma":[0.9975701,0.001004291,0.000579287,0.00004624228,0.0004888247,0.0003111764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004620454,0.0003124338,0.9492351,0.000188381,0.00006908393,0.001155365,0.009860585,0.00009228437,0.000213954,0.001008672,0.007123096,0.03027918],"study_design_scores_gemma":[0.00002527707,0.0001785252,0.9825366,0.0001122721,0.00004595815,0.0002958783,0.01149385,0.0003569358,0.00008022333,0.0002664044,0.004581635,0.00002653603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992955,0.001031438,0.00003820709,0.003388691,0.000130216,0.000006227263,0.0001690668,0.00000221769,0.002278996],"genre_scores_gemma":[0.9975509,0.001197381,0.00005305991,0.0003513806,0.00009284823,0.000002328419,0.00006892233,0.0000014836,0.0006815848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.047786,"threshold_uncertainty_score":0.0950157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04634144334635311,"score_gpt":0.360777914135551,"score_spread":0.3144364707891979,"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."}}