{"id":"W2602398598","doi":"","title":"Challenges and opportunities of silent commerce - applying Radio Frequency Identification technology","year":2006,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"RFID technology advancements","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radio-frequency identification; Computer science; Identification (biology); Supply chain; Telecommunications; Customer needs; Ubiquitous commerce; E-commerce; World Wide Web; Business; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004108202,0.000107918,0.0002062104,0.000213217,0.00003842147,0.00001080494,0.0002602543,0.00007802669,0.000006063297],"category_scores_gemma":[0.00001336539,0.00008551265,0.00002219078,0.00005396154,0.0001879228,0.0001192268,0.0000583498,0.0002866334,5.168856e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002675419,"about_ca_system_score_gemma":0.000004189386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001447922,"about_ca_topic_score_gemma":0.0000112818,"domain_scores_codex":[0.9992722,0.00004104116,0.0004077903,0.00006009746,0.0000997899,0.0001190658],"domain_scores_gemma":[0.9994497,0.00008125717,0.0002226151,0.0001715898,0.00005898424,0.00001585746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005784015,0.0001260536,0.005715048,0.0004263101,0.0004370043,0.00002733567,0.003661831,0.001064334,0.0602588,0.1200537,0.001102495,0.8070693],"study_design_scores_gemma":[0.006786828,0.002183071,0.149804,0.006384721,0.00120718,0.009040555,0.03853774,0.02068984,0.2300501,0.492681,0.04030471,0.002330286],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942396,0.04724653,0.006414958,0.001493976,0.0001426143,0.0000881751,0.000001578862,0.00006237492,0.00215372],"genre_scores_gemma":[0.985543,0.01397112,0.0003390886,0.0000235758,0.00002573735,0.000004377732,7.610919e-7,0.0000138682,0.0000784839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.804739,"threshold_uncertainty_score":0.3487105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181330213353155,"score_gpt":0.2408165995094684,"score_spread":0.2090032973759369,"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."}}