{"id":"W2076190464","doi":"10.4018/joeuc.2006100104","title":"Semantic Composition of Web Portal Components","year":2006,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Component (thermodynamics); World Wide Web; Semantic Web; Agile software development; Usability; Domain (mathematical analysis); Social Semantic Web; Composition (language); Software engineering; Human–computer interaction","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":[0.002185849,0.0005495137,0.0004275513,0.001531613,0.001214076,0.002947673,0.000820993,0.0009667074,0.002221973],"category_scores_gemma":[0.002821392,0.0005360765,0.001034201,0.0013259,0.001451573,0.00415111,0.002380586,0.0008499504,0.00109834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007691834,"about_ca_system_score_gemma":0.001655573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871194,"about_ca_topic_score_gemma":0.001678142,"domain_scores_codex":[0.9978812,0.0007044472,0.0002023105,0.0002384448,0.0008158745,0.0001575787],"domain_scores_gemma":[0.9988812,0.0002772699,0.00008158298,0.000330133,0.0003378153,0.00009207687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003933417,0.0004050876,0.002711835,0.0004221639,0.0001549934,0.001666452,0.00251941,0.03179579,0.03059762,0.751251,0.004465125,0.1736172],"study_design_scores_gemma":[0.0001350037,0.000166809,0.001026035,0.0002217029,0.0002764681,0.0009806745,0.001375844,0.3005861,0.05256978,0.4641268,0.1784609,0.00007380189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04753406,0.0003503254,0.9279001,0.00037568,0.0000985069,0.0003084975,0.0001070941,0.002477933,0.02084772],"genre_scores_gemma":[0.4175819,0.0007413782,0.5685835,0.0001905774,0.00005590673,0.0003382232,0.0008766804,0.0006449925,0.01098676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002947673,"threshold_uncertainty_score":0.01156002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00501496737280423,"score_gpt":0.1957854748956757,"score_spread":0.1907705075228715,"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."}}