{"id":"W2093017036","doi":"10.1016/j.conbuildmat.2013.04.022","title":"UK–China Science Bridge – Sustainable solutions for the built environment","year":2013,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Research Councils UK","keywords":"Bridge (graph theory); Software deployment; China; Engineering; Civil engineering; Relevance (law); Construction engineering; Structural health monitoring; Queen (butterfly); Engineering management; Architectural engineering; Computer science; Political science; Software engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009279228,0.0006672398,0.0002475374,0.0009083348,0.001598689,0.002282517,0.0006156502,0.003311335,0.06393796],"category_scores_gemma":[0.0009143949,0.0002656238,0.0003081547,0.001008645,0.0008100719,0.002082632,0.002664489,0.001774227,0.0091593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004619994,"about_ca_system_score_gemma":0.01041796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04793345,"about_ca_topic_score_gemma":0.117844,"domain_scores_codex":[0.9991824,0.00006837225,0.00003152479,0.0000788172,0.0004044894,0.0002342693],"domain_scores_gemma":[0.9992461,0.00004086117,0.00004869462,0.00007280568,0.0003193686,0.0002721355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002807469,0.000139255,0.002347844,0.0005474446,0.00003615808,0.0007278998,0.0007573386,0.0008375678,0.01446583,0.1802188,0.5114238,0.2882173],"study_design_scores_gemma":[0.00001654105,0.00007107556,0.003761767,0.00005696515,0.00000628905,0.00009762829,0.0002268735,0.0002655663,0.001677829,0.002656677,0.9911525,0.00001023336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04986859,0.02745582,0.006652109,0.05436271,0.009330356,0.0001987057,0.001723327,0.0005872537,0.8498212],"genre_scores_gemma":[0.07145536,0.003830444,0.002032392,0.001685554,0.0002491737,0.00004563635,0.0005469747,0.0000857218,0.9200687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06393796,"threshold_uncertainty_score":0.2138938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395722130550161,"score_gpt":0.2187639147727638,"score_spread":0.2048066934672622,"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."}}