{"id":"W2508539426","doi":"","title":"Online Shop System with Zencart","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Information retrieval","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":[0.0005909824,0.00006627056,0.0001092067,0.00005377741,0.00005373308,0.00007668162,0.0006110394,0.00001692422,0.000008038653],"category_scores_gemma":[0.0000175317,0.00002558904,0.00002206272,0.00008468072,0.00003916923,0.0005129655,0.0001461882,0.0001055569,0.000007430941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002053235,"about_ca_system_score_gemma":0.00002106237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001076791,"about_ca_topic_score_gemma":0.000003091786,"domain_scores_codex":[0.9993603,0.00005950903,0.000243717,0.00004504679,0.0001917167,0.00009966028],"domain_scores_gemma":[0.9992691,0.0001690474,0.0002337532,0.0001751781,0.0001135941,0.00003932093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000538618,0.0001264189,0.006833202,0.0001327066,0.0002961183,0.00008803087,0.01809002,0.00008090113,0.001175517,0.1801499,0.01477217,0.7777164],"study_design_scores_gemma":[0.02301697,0.01613223,0.09716495,0.03743081,0.0006293047,0.09467443,0.03386517,0.3395416,0.0292675,0.003869554,0.3205715,0.003835926],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3066963,0.0001169745,0.689377,0.002079357,0.0001517269,0.00002465098,0.000002107309,0.00002027613,0.001531597],"genre_scores_gemma":[0.9972387,0.00003087769,0.001998705,0.0004073633,0.00006115845,1.408179e-7,2.339884e-7,0.000002701151,0.0002601285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7738805,"threshold_uncertainty_score":0.1135473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638825068177761,"score_gpt":0.2264381149146543,"score_spread":0.2100498642328767,"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."}}