{"id":"W2554270681","doi":"","title":"Influence of Demographic Profile On Acceptance of InternetBanking In A Non Metro City In Tamil Nadu, IndiaAn Empirical Study","year":2014,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tamil; Marital status; The Internet; Sample (material); Variables; Socioeconomics; Business; Private sector; Geography; Economic growth; Demography; Sociology; Population; Economics; Computer science; Statistics; Mathematics","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":[0.000346767,0.00016455,0.0001535483,0.0009932682,0.0008062861,0.001081256,0.0002605536,0.0002859009,0.00254781],"category_scores_gemma":[0.001843517,0.0001634388,0.0002703407,0.001127369,0.00041732,0.0003837153,0.0005726675,0.0005557738,0.0002949031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004558522,"about_ca_system_score_gemma":0.0005883267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431176,"about_ca_topic_score_gemma":0.02430278,"domain_scores_codex":[0.9995261,0.000157579,0.00003963921,0.00004665245,0.0001053781,0.0001246608],"domain_scores_gemma":[0.9976205,0.0007188712,0.0008023367,0.0001280934,0.0002731584,0.0004569929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001854036,0.0001014711,0.9956934,0.00001250553,0.00001019097,0.0002641815,0.001772376,0.00003131463,0.0001253157,0.00004863295,0.0001274848,0.001794458],"study_design_scores_gemma":[0.000001193523,0.00006376068,0.9909243,0.0000118221,0.00001025598,0.0002930274,0.008103059,0.0001830132,0.00006015734,0.00001687593,0.0003254967,0.000007147491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993678,0.00002416616,0.0000168646,0.00005534634,0.000001508036,0.000005210811,0.00004849967,0.000001142686,0.0004793472],"genre_scores_gemma":[0.999635,0.0000527257,0.00002460736,0.00002462758,0.000002966937,0.000006619743,0.00006251463,5.834739e-7,0.0001902995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01431176,"threshold_uncertainty_score":0.02845693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06471481768090383,"score_gpt":0.3779523742231872,"score_spread":0.3132375565422834,"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."}}