{"id":"W2800948536","doi":"10.5430/ijba.v9n3p10","title":"Older Adults on Electronic Commerce: A Literature Review","year":2018,"lang":"en","type":"review","venue":"International Journal of Business Administration","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject matter; Marketing; Market segmentation; Subject (documents); Business; E-commerce; Computer science; Economics; Economic growth; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00205959,0.0004192396,0.001376709,0.001230851,0.00007541187,0.0004534497,0.002457567,0.0004993255,0.0005558605],"category_scores_gemma":[0.002526558,0.0002762424,0.0007425935,0.001426735,0.0001155125,0.0005531357,0.0001009247,0.001057313,0.0003573363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002556987,"about_ca_system_score_gemma":0.001207047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.077381e-7,"about_ca_topic_score_gemma":0.000006345382,"domain_scores_codex":[0.9941095,0.000341201,0.00252156,0.0004655076,0.002321797,0.0002404],"domain_scores_gemma":[0.9893154,0.0004018539,0.003847603,0.0005733698,0.00575708,0.0001046819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009587842,0.0002964685,0.00001852389,0.001299015,0.0001398757,0.0002754271,0.00003366485,1.965837e-7,7.834009e-8,0.001497773,0.03491881,0.9614243],"study_design_scores_gemma":[0.0003409732,0.0002273573,0.0004062779,0.1232569,0.0002277534,0.002951989,0.00001425979,0.00000193875,7.840357e-7,0.0004181854,0.8719319,0.0002217157],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008632975,0.992082,0.0005470516,0.003850662,0.002708012,0.0003822377,0.00006932113,0.00002743359,0.000246933],"genre_scores_gemma":[0.001235084,0.99595,0.0001358662,0.0007955891,0.001047172,0.0000193621,0.000155516,0.00003095742,0.0006304772],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9612026,"threshold_uncertainty_score":0.9999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0910078359916537,"score_gpt":0.4531874393276111,"score_spread":0.3621796033359574,"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."}}