{"id":"W2756031164","doi":"10.4242/balisagevol19.lee01","title":"The Secret Life of Schema in Web Protocols, API's and Software Type Systems","year":2017,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Computer science; JSON; Document Structure Description; Software engineering; Programming language; XML; Software; Markup language; Schema (genetic algorithms); World Wide Web; Information retrieval","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":[0.02189633,0.0006021994,0.0009474303,0.002382581,0.004401162,0.01790335,0.002031779,0.004329307,0.005918375],"category_scores_gemma":[0.04208486,0.001235973,0.0009531107,0.004008107,0.03383482,0.04941751,0.005795884,0.01127981,0.001974666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003097029,"about_ca_system_score_gemma":0.00304332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001579339,"about_ca_topic_score_gemma":0.0009993427,"domain_scores_codex":[0.9851517,0.007880216,0.0008934988,0.001263452,0.004298648,0.0005125043],"domain_scores_gemma":[0.9596669,0.02298791,0.00145009,0.01284618,0.002356787,0.000692198],"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":[0.00001380794,0.00001019555,0.0001346869,0.00004345687,0.000005162877,0.00003625248,0.001495217,0.0002506221,0.0002753535,0.9864509,0.00121267,0.01007158],"study_design_scores_gemma":[0.00001536048,0.00004894813,0.0001601322,0.0002132471,0.00001406502,0.0003242677,0.001145772,0.002173298,0.002959483,0.8450095,0.147893,0.00004287677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01805213,0.01050763,0.8516585,0.03200231,0.00267707,0.0001699119,0.0002760152,0.001124827,0.08353159],"genre_scores_gemma":[0.4130301,0.01576064,0.5226289,0.009081624,0.002818384,0.0009008785,0.0005018603,0.002570675,0.03270696],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02189633,"threshold_uncertainty_score":0.1158003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672812288222687,"score_gpt":0.2596243976694916,"score_spread":0.2428962747872647,"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."}}