{"id":"W1544156483","doi":"10.1300/j123v51n02_08","title":"The Development and Use of Metadata Application Profiles","year":2006,"lang":"en","type":"article","venue":"The Serials Librarian","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Treasury Board of Canada Secretariat","funders":"","keywords":"Metadata; Data element; Computer science; Interoperability; Geospatial metadata; Meta Data Services; Domain (mathematical analysis); Function (biology); Metadata repository; World Wide Web; Element (criminal law); Information retrieval; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.05490823,0.000404373,0.0004793384,0.004213819,0.003058853,0.008834436,0.003100889,0.001791185,0.001280017],"category_scores_gemma":[0.06543478,0.001200511,0.000759957,0.003448232,0.002161185,0.01779209,0.007475396,0.004007015,0.001307314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004495603,"about_ca_system_score_gemma":0.0105735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006285359,"about_ca_topic_score_gemma":0.006005554,"domain_scores_codex":[0.9738696,0.01320142,0.003282078,0.001600747,0.007073621,0.0009724676],"domain_scores_gemma":[0.9268824,0.01794796,0.004425078,0.02014491,0.02659919,0.004000549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002141024,0.0004021095,0.01989493,0.0003790388,0.00005015223,0.0006000213,0.01542063,0.003276809,0.01146164,0.3241697,0.01523244,0.6088985],"study_design_scores_gemma":[0.00007735333,0.0003559477,0.009754661,0.002124072,0.0001065065,0.001334574,0.01327463,0.06722658,0.03642335,0.09789678,0.7711323,0.0002933288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1201981,0.001199925,0.7987037,0.01201211,0.0003264569,0.001491284,0.0002641251,0.005740001,0.06006426],"genre_scores_gemma":[0.3001489,0.001071457,0.6833763,0.0007985733,0.0001125966,0.0005347529,0.0008925618,0.00096093,0.01210398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9911656,"threshold_uncertainty_score":0.290386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435224257207274,"score_gpt":0.201269549168098,"score_spread":0.1869173065960253,"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."}}