{"id":"W3181639289","doi":"10.5267/j.ijdns.2021.6.004","title":"Investigating e-wallet adoption of COVID19 intra-period among Malaysian youths': Integrated task-technology fit and technology acceptance model framework","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology acceptance model; Credibility; Usability; Task (project management); Pandemic; Service provider; Coronavirus disease 2019 (COVID-19); Structural equation modeling; Marketing; Business; Psychology; Service (business); Computer science; Economics; Medicine; Political science","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":[0.003748607,0.0004947244,0.0003763534,0.001428978,0.0007350172,0.002419182,0.0004779648,0.0007466389,0.001720001],"category_scores_gemma":[0.00783427,0.0003510473,0.001183624,0.0009203855,0.0007022587,0.001517917,0.001436945,0.001323926,0.0002267388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197096,"about_ca_system_score_gemma":0.001800867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006430597,"about_ca_topic_score_gemma":0.00848422,"domain_scores_codex":[0.9981541,0.0007639552,0.000167181,0.0001565558,0.0004240862,0.0003341569],"domain_scores_gemma":[0.9941948,0.002719524,0.001496043,0.0002386205,0.0007656651,0.0005853968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004113048,0.0003935394,0.9696655,0.00007839815,0.00006437385,0.0002029158,0.0165315,0.0003786744,0.0003101479,0.0007065244,0.0001809532,0.01144636],"study_design_scores_gemma":[0.000008792577,0.0004784359,0.9365193,0.0002258439,0.00009223427,0.0002445621,0.05227489,0.00803317,0.0004414138,0.0005361694,0.001109104,0.00003612497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984261,0.00007356035,0.0004085395,0.0001302794,0.000003815167,0.0000326574,0.00003849069,0.000002835457,0.0008836992],"genre_scores_gemma":[0.9993309,0.00008446098,0.0003279299,0.00001658599,0.000001852023,0.0000320354,0.00004047998,0.00000123406,0.000164463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006430597,"threshold_uncertainty_score":0.0198248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778037193402669,"score_gpt":0.2900097707066501,"score_spread":0.2622293987726234,"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."}}