{"id":"W2920580655","doi":"10.1007/978-0-387-39940-9_633","title":"Web Services and the Semantic Web for Life Science Data","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"World Wide Web; Computer science; Semantic Web; Social Semantic Web; Semantic Web Stack; Web application; Data Web; Web standards; Web service","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":[0.001186118,0.0009670081,0.0008229625,0.003631935,0.0008629358,0.005693123,0.001154767,0.00204982,0.008580948],"category_scores_gemma":[0.002265085,0.0005366988,0.0009205539,0.008756266,0.00248461,0.008951515,0.002063459,0.002558446,0.004052018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773894,"about_ca_system_score_gemma":0.002479491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004074826,"about_ca_topic_score_gemma":0.0040777,"domain_scores_codex":[0.998914,0.0001872301,0.00008577161,0.00009266139,0.0006539841,0.00006634658],"domain_scores_gemma":[0.9993204,0.0003766023,0.00003254165,0.0001065,0.0001115326,0.00005251043],"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":[0.00001725379,0.00002343074,0.00007116765,0.0003587619,0.00001949767,0.0001375958,0.0003423982,0.001232187,0.0008975025,0.8461331,0.0561044,0.09466284],"study_design_scores_gemma":[0.000006221806,0.000006755284,0.00007780524,0.0001889497,0.000009442791,0.0002327827,0.0000949922,0.002255479,0.0003939999,0.429526,0.5671963,0.00001120746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004788737,0.1143192,0.4538575,0.02115892,0.005095205,0.0002575653,0.002556196,0.00284359,0.395123],"genre_scores_gemma":[0.08586168,0.1829366,0.4641144,0.008104618,0.005461927,0.0005560787,0.009691034,0.00200613,0.2412675],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008580948,"threshold_uncertainty_score":0.02870613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09440162291084087,"score_gpt":0.3410462246843937,"score_spread":0.2466446017735529,"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."}}