{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001585176,0.00009532829,0.0001838353,0.0001564332,0.0001094268,0.00005775782,0.0002896283,0.00003223718,0.000013123],"category_scores_gemma":[0.000003266138,0.00007969068,0.00004178108,0.0003848522,0.00002290452,0.0002490901,0.0001354105,0.0001010152,0.000001623868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008803077,"about_ca_system_score_gemma":0.00004937841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002272479,"about_ca_topic_score_gemma":0.00000548418,"domain_scores_codex":[0.9989462,0.00003736982,0.0004495683,0.0001145465,0.0003358696,0.000116371],"domain_scores_gemma":[0.999029,0.00008404817,0.0004177954,0.00008369557,0.0003345289,0.00005095958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005888783,0.0009248202,0.5541611,0.000381129,0.0002790432,0.0001957535,0.003264582,0.02891345,0.2497648,0.1572235,0.0008071025,0.004025798],"study_design_scores_gemma":[0.002109875,0.0002461556,0.8411155,0.0004195335,0.00007424045,0.001723898,0.0001512984,0.1251318,0.01910726,0.008397693,0.001117629,0.0004051323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888083,0.0001759392,0.1099768,0.0004657361,0.0002454116,0.00002834954,0.000001910197,0.00001680924,0.0002808225],"genre_scores_gemma":[0.9822273,0.000005639414,0.01728104,0.0002098355,0.0002528983,3.746237e-8,0.00001007058,0.000006886853,0.000006269312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2869544,"threshold_uncertainty_score":0.3249691,"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."}}