{"id":"W2339548200","doi":"10.1016/j.dib.2016.04.025","title":"Experimental data of the static behavior of reinforced concrete beams at room and low temperature","year":2016,"lang":"en","type":"article","venue":"Data in Brief","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Transportation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Food and Agriculture; Transport Canada","keywords":"Digital image correlation; Particle image velocimetry; Materials science; Reinforced concrete; Ductility (Earth science); Composite material; Experimental data; Structural engineering; Mechanics; Engineering; Physics; Mathematics","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":[0.000329801,0.000466766,0.0003137839,0.0004414313,0.0004119653,0.0001023754,0.0003287243,0.0002864797,0.003664737],"category_scores_gemma":[0.0005917639,0.0001945946,0.0002234573,0.0004257934,0.0003628893,0.0002114115,0.0002321426,0.0004058097,0.0007191254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941661,"about_ca_system_score_gemma":0.0002320348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000847106,"about_ca_topic_score_gemma":0.001644659,"domain_scores_codex":[0.9996122,0.00002603206,0.00003321787,0.00007629956,0.0001961955,0.00005612783],"domain_scores_gemma":[0.9990139,0.0001986162,0.0001253682,0.0001775975,0.0004156856,0.0000687896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001556336,0.00005683376,0.001370601,0.00009604661,0.00000695675,0.00003875216,0.00006785615,0.001534499,0.9936073,0.0000568019,0.00009371501,0.002915058],"study_design_scores_gemma":[0.000008315876,0.0005751405,0.009843863,0.000008072439,0.00002109785,0.00009229311,0.00004967325,0.001313519,0.9870364,0.00004210808,0.0009918661,0.0000176881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9869392,0.0003588249,0.008479239,0.00002598011,0.00001874033,0.00003264598,0.001612694,0.000182137,0.002350557],"genre_scores_gemma":[0.9902011,0.0003765633,0.004642818,0.00001517986,0.000008828366,0.00007060946,0.00161272,0.00005059376,0.003021664],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.003664737,"threshold_uncertainty_score":0.01225972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135136667853935,"score_gpt":0.3075854305680094,"score_spread":0.27623406388947,"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."}}