{"id":"W7099791149","doi":"","title":"INCREASING INTEROPERABILITY WITH CEONET TECHNOLOGY USING WSDL AND","year":2011,"lang":"en","type":"article","venue":"","topic":"Globalization, Historical Perspectives, and International Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"WS-I Basic Profile; Web service; SOAP; Interoperability; Devices Profile for Web Services; Web Coverage Service; Web modeling; WS-Policy; Web standards","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004420583,0.0005470656,0.0002664837,0.002069222,0.0009396278,0.00414773,0.000934277,0.0008699723,0.002241867],"category_scores_gemma":[0.006954605,0.0003915135,0.0004711692,0.002201349,0.001447313,0.006062275,0.002008168,0.001671998,0.001329419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003393555,"about_ca_system_score_gemma":0.005776291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307987,"about_ca_topic_score_gemma":0.01501051,"domain_scores_codex":[0.9960276,0.000987282,0.0004631832,0.0002874977,0.001988096,0.0002463304],"domain_scores_gemma":[0.9971077,0.0007178304,0.000201441,0.0005263473,0.001299575,0.0001471677],"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":[0.0001016751,0.0001683597,0.002469461,0.0003482527,0.00002923633,0.0005985839,0.002675551,0.008509398,0.0163703,0.731293,0.02044118,0.2169951],"study_design_scores_gemma":[0.00003736087,0.00005183202,0.0007830948,0.0002568553,0.00003679161,0.000361953,0.0005571449,0.04275704,0.0245587,0.06554075,0.8649697,0.00008876681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01767411,0.0007715439,0.8626791,0.004389517,0.0007620136,0.0003172621,0.0004076564,0.004436447,0.1085623],"genre_scores_gemma":[0.1619846,0.002622271,0.777149,0.001438054,0.0002728844,0.0005658202,0.002350979,0.0007694993,0.05284685],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01307987,"threshold_uncertainty_score":0.02600747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05787833283019341,"score_gpt":0.2984477231805631,"score_spread":0.2405693903503697,"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."}}