{"id":"W6980821784","doi":"","title":"Customizing the Composition of Web Services and Beyond","year":2012,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web service; WS-Policy; Workflow; Web modeling; Services computing; Web standards; Composition (language); WS-Addressing; Web intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003253526,0.0007319755,0.0005079262,0.001101451,0.0009926718,0.00211294,0.001601239,0.00125304,0.002971165],"category_scores_gemma":[0.00518762,0.0007817224,0.001380507,0.001176845,0.002611788,0.004190676,0.002886629,0.001902324,0.0008730474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167438,"about_ca_system_score_gemma":0.001909024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003984162,"about_ca_topic_score_gemma":0.004565291,"domain_scores_codex":[0.9970999,0.0008482438,0.0002007504,0.0006488582,0.001001211,0.0002010439],"domain_scores_gemma":[0.9977908,0.0007485949,0.0001414324,0.001018412,0.0002090148,0.00009172024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001416018,0.0001624408,0.001116681,0.0003739292,0.00009646842,0.0004761257,0.001166889,0.1607951,0.02988912,0.5400655,0.003506814,0.2622094],"study_design_scores_gemma":[0.0000426984,0.00009802307,0.0004980121,0.0001567998,0.00006862955,0.0003773384,0.0003199146,0.411537,0.02266138,0.477292,0.08687837,0.00006976139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01437931,0.0004554008,0.9704324,0.0007221379,0.00008329951,0.0002089697,0.00005649878,0.001254795,0.01240724],"genre_scores_gemma":[0.2171592,0.001428685,0.7709507,0.0005237716,0.00009068316,0.0002381817,0.0002867137,0.0004896888,0.008832259],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003984162,"threshold_uncertainty_score":0.01720649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201938254168257,"score_gpt":0.2364079277672244,"score_spread":0.2162141023503987,"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."}}