{"id":"W2986320541","doi":"10.5539/mas.v13n12p21","title":"Consumers Trust, Privacy and Security Issues on Mobile Commerce Websites","year":2019,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Globe; Business; Anticipation (artificial intelligence); Mobile commerce; The Internet; E-commerce; Marketing; Computer science; World Wide Web","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":[0.003642571,0.0001176811,0.0002508711,0.0006432284,0.002652028,0.004856101,0.0002150369,0.00121866,0.003267842],"category_scores_gemma":[0.01325463,0.0001741183,0.0002710207,0.0009406396,0.002293007,0.00250002,0.001235687,0.0009912282,0.0004462173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811567,"about_ca_system_score_gemma":0.001124549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005113759,"about_ca_topic_score_gemma":0.004014773,"domain_scores_codex":[0.995207,0.002670786,0.000175819,0.0001806426,0.001422354,0.0003433138],"domain_scores_gemma":[0.9884669,0.006741882,0.001933175,0.0008036656,0.001745616,0.0003088613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001113568,0.0005122264,0.4660339,0.0004230822,0.000109612,0.004536789,0.2944451,0.0009095373,0.008349204,0.08352813,0.006001707,0.1340372],"study_design_scores_gemma":[0.0000699411,0.001047119,0.4573428,0.0009271671,0.0002372587,0.003941846,0.3929995,0.009273677,0.009404198,0.04805766,0.0765062,0.0001926499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700327,0.0003579432,0.001028444,0.002053377,0.000008006936,0.00003378129,0.00003086738,0.000008590402,0.0264463],"genre_scores_gemma":[0.9987676,0.0001307595,0.0001684058,0.0001227115,0.00000563408,0.000006386161,0.00001104497,0.000001925446,0.0007855813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005113759,"threshold_uncertainty_score":0.01926398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008666373003800883,"score_gpt":0.2477799545507563,"score_spread":0.2391135815469554,"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."}}