{"id":"W2376946763","doi":"","title":"Comparison of Construction Standards' Content and Depth Between China and Canada and Its Reference","year":2008,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Technical standard; Point (geometry); Engineering; Key (lock); Construction engineering; Business; Computer science; Political science; Mathematics; Computer security; Law","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":[0.006094797,0.0003251481,0.000426114,0.01186502,0.003416018,0.004198642,0.00146548,0.0005006677,0.003774477],"category_scores_gemma":[0.01652634,0.000289665,0.0005700176,0.0201676,0.001772291,0.001094096,0.001335597,0.0009192195,0.000227175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0912456,"about_ca_system_score_gemma":0.1225839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9715866,"about_ca_topic_score_gemma":0.9815022,"domain_scores_codex":[0.9827899,0.0008691002,0.0006308112,0.0005726316,0.01320525,0.001932314],"domain_scores_gemma":[0.9664308,0.002402243,0.001368731,0.0008682648,0.02790636,0.001023452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003811286,0.0000974794,0.1548561,0.001403248,0.0001669282,0.0005894552,0.0132505,0.0104514,0.004080396,0.3262015,0.04989838,0.4386235],"study_design_scores_gemma":[0.00001636977,0.00006706261,0.7056256,0.0005640787,0.0001221277,0.0002099681,0.008496854,0.004086414,0.003341547,0.00537887,0.271942,0.0001493063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.505613,0.01121763,0.01739462,0.01011388,0.0004238586,0.0004239786,0.01120251,0.0006999495,0.4429106],"genre_scores_gemma":[0.9568215,0.003295616,0.00671968,0.0006742182,0.00003231177,0.00006816678,0.003731871,0.0001062981,0.02855041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0912456,"threshold_uncertainty_score":0.6620363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1862275865405015,"score_gpt":0.4023241863004461,"score_spread":0.2160965997599446,"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."}}