{"id":"W2090992497","doi":"10.1016/j.datak.2004.06.005","title":"eMarketplaces for enterprise and cross enterprise integration","year":2004,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Enterprise integration; Business; Process management; Enterprise software","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001365215,0.0001266626,0.0001495858,0.0001436356,0.0001637867,0.000299856,0.0007274818,0.00005232869,0.00004688251],"category_scores_gemma":[0.001821049,0.0001055639,0.00003869116,0.0002765413,0.00005436168,0.0007761987,0.0002853488,0.00009256765,0.0001189033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003073513,"about_ca_system_score_gemma":0.00002808891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000247216,"about_ca_topic_score_gemma":0.00001558626,"domain_scores_codex":[0.9988411,0.00002203975,0.0003511937,0.0004614402,0.0001602777,0.0001639658],"domain_scores_gemma":[0.9983643,0.0006097005,0.00007604134,0.0007382456,0.0001165623,0.00009519458],"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":[0.0002645242,0.0005519039,0.002100735,0.0001112935,0.0001109794,0.000004297068,0.008292696,0.002405532,0.01715563,0.1299204,0.01624897,0.8228331],"study_design_scores_gemma":[0.002051981,0.00009865245,0.005955846,0.0001800338,0.00005006346,0.00004537166,0.001129458,0.4213112,0.01162773,0.03775096,0.5191088,0.0006899331],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08587217,0.0005501919,0.9116827,0.0001563222,0.0004538118,0.0002638439,0.0003541454,0.00009977075,0.0005670488],"genre_scores_gemma":[0.9838482,0.00004153558,0.01429221,0.00002257289,0.0002643742,0.000090166,0.0001926366,0.00002062119,0.001227709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.897976,"threshold_uncertainty_score":0.430477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08516768738760731,"score_gpt":0.4081140141277604,"score_spread":0.3229463267401531,"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."}}