{"id":"W2415938545","doi":"10.4242/balisagevol10.nordin01","title":"Markup and Canada's National Model Building Codes","year":2013,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Markup language; Political science; World Wide Web; XML","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001669037,0.0002292194,0.0002327982,0.0002956136,0.0002788148,0.0007218507,0.0003406173,0.0001061957,0.0001354039],"category_scores_gemma":[0.000597159,0.0002002084,0.00004708555,0.0003225638,0.0001768423,0.001531155,0.0003905378,0.000163219,0.00002672867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006872178,"about_ca_system_score_gemma":0.00006082823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09430878,"about_ca_topic_score_gemma":0.07843253,"domain_scores_codex":[0.9987417,0.000004554412,0.000228824,0.0003347083,0.0003723496,0.0003178569],"domain_scores_gemma":[0.9992144,0.00004533279,0.0001349173,0.000263737,0.0003316025,0.000009973503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009190689,0.0001423921,0.02008231,0.0004226472,0.0003254383,0.00005254151,0.00002404754,0.00223759,0.008151945,0.5326008,0.3410657,0.09480263],"study_design_scores_gemma":[0.001356062,0.00008514601,0.0254557,0.0002675009,0.000287358,0.00002110886,0.009749011,0.3576923,0.004782252,0.3310983,0.2663322,0.002873085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8849738,0.0003786734,0.001117437,0.03074681,0.0002181585,0.0005327565,0.00004970684,0.001362403,0.08062025],"genre_scores_gemma":[0.9919072,0.0001337101,0.004740984,0.001540345,0.00008616495,0.00005936113,0.00002159349,0.00002456876,0.001486011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3554547,"threshold_uncertainty_score":0.9383837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008138877558754322,"score_gpt":0.1904909705946607,"score_spread":0.1823520930359064,"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."}}