{"id":"W2524241157","doi":"","title":"XML: Future of E-Content Business","year":2003,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; XML; Entertainment; World Wide Web; XML Schema Editor; Electronic business; Efficient XML Interchange; The Internet; cXML; Business model; XML Signature; Business; Marketing; Political science","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":[0.0006289692,0.00007880133,0.0001791816,0.00004504555,0.00004271515,0.00002094036,0.0003551269,0.00002093631,0.000009419977],"category_scores_gemma":[0.00003881276,0.00004397796,0.00003873851,0.0001275533,0.00005132314,0.0002755422,0.00008990547,0.0001468171,8.968589e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009049963,"about_ca_system_score_gemma":0.00002331094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004851978,"about_ca_topic_score_gemma":0.000009875691,"domain_scores_codex":[0.999254,0.0001339101,0.0003028648,0.00005894284,0.000153519,0.00009674829],"domain_scores_gemma":[0.9991137,0.00009647143,0.0003298934,0.0002258012,0.0002029606,0.00003111677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001144401,0.0001100212,0.002949271,0.0001235456,0.0001524711,0.00003166932,0.009283042,0.0001477341,0.004336264,0.8872329,0.005489904,0.09002874],"study_design_scores_gemma":[0.003165959,0.001134783,0.03871579,0.002899597,0.0001354462,0.008688479,0.0093173,0.002133757,0.03100644,0.00976824,0.8922064,0.0008277506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2336769,0.004151683,0.7593452,0.001071355,0.0008080983,0.00004026688,0.000001420429,0.000008182123,0.000896845],"genre_scores_gemma":[0.9906284,0.0003341587,0.008449981,0.0002617069,0.0001011691,3.323808e-7,1.697421e-7,0.000004483252,0.000219635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8867165,"threshold_uncertainty_score":0.1793369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451603733700852,"score_gpt":0.2367775818864983,"score_spread":0.2122615445494898,"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."}}