{"id":"W2287680058","doi":"10.4236/ti.2016.71002","title":"Research on XBRL Domain Ontology Construction","year":2016,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"XBRL; Computer science; Business reporting; Ontology; XML; Markup language; Domain (mathematical analysis); Metadata; Software engineering; Data science; Database; World Wide Web","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":[0.01114979,0.001044702,0.0007288137,0.00615969,0.002564346,0.006982792,0.003614957,0.001342912,0.003194685],"category_scores_gemma":[0.01692334,0.001350931,0.002372424,0.00875577,0.002979263,0.01960865,0.003999325,0.004339707,0.001534315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005133992,"about_ca_system_score_gemma":0.006784689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399543,"about_ca_topic_score_gemma":0.008490356,"domain_scores_codex":[0.9897613,0.003393781,0.001158725,0.001742544,0.003443312,0.0005003558],"domain_scores_gemma":[0.9914436,0.003150135,0.0008429608,0.00206307,0.002249754,0.0002506225],"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":[0.00002682199,0.0001030369,0.001946992,0.0004879884,0.00005775361,0.0003052201,0.002385404,0.006219325,0.002524392,0.786801,0.007574889,0.1915672],"study_design_scores_gemma":[0.0000398638,0.00006388104,0.001831593,0.001499984,0.0001211152,0.001166598,0.004339983,0.110092,0.01050958,0.3299421,0.5402572,0.0001362655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006100472,0.001779778,0.9740062,0.002447183,0.0001606079,0.0002451637,0.0002808753,0.001033019,0.01394672],"genre_scores_gemma":[0.06752793,0.005209358,0.9155636,0.000871457,0.0001141053,0.0003429256,0.002802109,0.0003407271,0.007227644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02399543,"threshold_uncertainty_score":0.05896646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03575026090287092,"score_gpt":0.2906803950858319,"score_spread":0.254930134182961,"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."}}