{"id":"W1868965042","doi":"10.3968/j.css.1923669720110702.008","title":"The Analysis of Influencing Factors and Promotion Strategy for the Use of Mobile Banking","year":2011,"lang":"en","type":"article","venue":"Canadian social science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Mobile banking; Marketing; Business; Mobile marketing; Perception; Welfare economics; Risk perception; Political science; Humanities; Advertising; Business administration; Psychology; Economics; Art; Digital marketing","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":[0.001477201,0.0004800281,0.0002819142,0.001701515,0.0006615956,0.00167683,0.0002713553,0.0004114184,0.006522243],"category_scores_gemma":[0.006410454,0.0002160868,0.0006555917,0.001715399,0.0005497576,0.00068332,0.0005553401,0.0006120512,0.0006346086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077901,"about_ca_system_score_gemma":0.002726525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009439227,"about_ca_topic_score_gemma":0.01065153,"domain_scores_codex":[0.999082,0.0003228405,0.00005530471,0.00009140921,0.0002917161,0.000156783],"domain_scores_gemma":[0.9945248,0.003282464,0.0009063272,0.0001160816,0.0006555449,0.0005147909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001338596,0.0002733893,0.9198657,0.0001805055,0.00009027949,0.000342787,0.004087866,0.0005091861,0.001751456,0.004273481,0.0004311305,0.06806032],"study_design_scores_gemma":[0.000006917362,0.000229275,0.9860331,0.00009852509,0.0001082986,0.0002881835,0.006519083,0.002471668,0.0008324455,0.0008761979,0.002517977,0.00001820821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983381,0.0005667077,0.002629944,0.0004688695,0.00002031325,0.0001368572,0.0001017401,0.00002448172,0.01267018],"genre_scores_gemma":[0.9967853,0.0003647894,0.001317352,0.00002473733,0.0000118379,0.00003404898,0.00006692525,0.000005553987,0.001389484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009439227,"threshold_uncertainty_score":0.02181906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2922151287229497,"score_gpt":0.3852581834937961,"score_spread":0.09304305477084646,"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."}}