{"id":"W2037491825","doi":"10.1002/meet.1450400171","title":"E‐commerce in libraries. Sponsored by SIG LT","year":2003,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Web and Library Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"World Wide Web; E-commerce; The Internet; Cataloging; Computer science; Selection (genetic algorithm); Business; Process (computing); Work (physics); Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002095356,0.001083029,0.0005440468,0.001781296,0.001677904,0.006845353,0.0007489959,0.003135651,0.1805974],"category_scores_gemma":[0.001827931,0.0003066094,0.0004144236,0.003997169,0.0006779746,0.003582549,0.001619958,0.00221796,0.1243752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282404,"about_ca_system_score_gemma":0.004089985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022304,"about_ca_topic_score_gemma":0.02858332,"domain_scores_codex":[0.9992841,0.00015919,0.00004264209,0.0001032506,0.0002827806,0.0001280257],"domain_scores_gemma":[0.9971805,0.0005223505,0.0001541602,0.0001609933,0.0008044055,0.001177601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006690177,0.0001038591,0.0004642592,0.0002495919,0.000005765645,0.0000848186,0.00007681687,0.0001039567,0.0001683518,0.001277097,0.8969077,0.1004909],"study_design_scores_gemma":[0.00003240655,0.00005928821,0.002775619,0.0003146193,0.00001215604,0.00006984526,0.0002217674,0.0003746983,0.0001860598,0.0007082328,0.9952296,0.00001579171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005009488,0.0718433,0.00126107,0.04519635,0.01993388,0.0002674684,0.002520613,0.001832735,0.852135],"genre_scores_gemma":[0.01019353,0.02037718,0.0006583944,0.002739673,0.002673053,0.00008113266,0.001697027,0.0002166916,0.9613634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1805974,"threshold_uncertainty_score":0.6041586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006228058416281372,"score_gpt":0.2120618099599395,"score_spread":0.2058337515436581,"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."}}