{"id":"W1996373662","doi":"10.4028/www.scientific.net/amm.256-259.1542","title":"Influence of Prestress Degree to Long-Term Response of the Long Span Prestressed Concrete Bridges","year":2012,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Structural engineering; Prestressed concrete; Deflection (physics); Span (engineering); Beam bridge; Engineering; Stress (linguistics); Deformation (meteorology); Geotechnical engineering; Materials science; Composite material; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000163002,0.0002425622,0.00008981661,0.0001673652,0.0001015818,0.0001775756,0.0001398297,0.0002171948,0.001010881],"category_scores_gemma":[0.000811538,0.00009045506,0.0001275361,0.00007116638,0.0001727108,0.0001689391,0.0001942045,0.0001619435,0.0001117433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165933,"about_ca_system_score_gemma":0.0001123865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004352952,"about_ca_topic_score_gemma":0.0006451366,"domain_scores_codex":[0.9998879,0.00001680458,0.000006767414,0.00002561198,0.00003521718,0.00002768048],"domain_scores_gemma":[0.9996463,0.0001090252,0.00007515604,0.0000433424,0.00007959437,0.00004650201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000486614,0.00005131726,0.007229472,0.00005596191,0.00001417796,0.0002418789,0.0001289599,0.04104671,0.9377509,0.0003700517,0.00006969064,0.01255436],"study_design_scores_gemma":[0.00002667965,0.00181482,0.159796,0.00002402437,0.00006386842,0.0004287553,0.0004023635,0.1299426,0.705643,0.0004533524,0.001361716,0.00004296642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933237,0.0001241566,0.005045877,0.00001476459,0.000008775103,0.000005303936,0.0000180566,0.00002796878,0.00143139],"genre_scores_gemma":[0.9996158,0.00002720557,0.0001612657,0.000002713849,0.000001234743,0.000001232915,0.000008754641,0.000002542833,0.0001792425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001010881,"threshold_uncertainty_score":0.003381789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009760372347176785,"score_gpt":0.2063090895250167,"score_spread":0.1965487171778399,"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."}}