{"id":"W2089889059","doi":"10.1139/l01-003","title":"Measurements of laboratory rates of concrete expansion and their comparisons with field rates","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Alkali–aggregate reaction; Aggregate (composite); Reliability (semiconductor); Geotechnical engineering; Structural engineering; Laboratory test; Environmental science; Field (mathematics); Rebar; Residual; Instrumentation (computer programming); Engineering; Forensic engineering; Computer science; Materials science; Mathematics; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.0002046618,0.0001542143,0.0003371859,0.0002559641,0.00002225888,0.00001305024,0.0001158758,0.00005980061,0.00002634635],"category_scores_gemma":[0.00006061579,0.0001325081,0.00004120513,0.000217554,0.00002735563,0.0001244615,0.000004511267,0.0001915479,2.563024e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000418363,"about_ca_system_score_gemma":0.0001270531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001992446,"about_ca_topic_score_gemma":0.004384585,"domain_scores_codex":[0.9992818,0.000009907446,0.0003304109,0.00006049191,0.0001049719,0.0002124012],"domain_scores_gemma":[0.999317,0.00007413297,0.00006223885,0.0001155744,0.0001602864,0.0002706932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000247984,0.000003349579,0.03430223,0.0003102754,0.0002816503,0.00004095678,0.0008429711,0.891843,0.07084966,0.00003511165,0.001005815,0.0004601981],"study_design_scores_gemma":[0.003965661,0.001182788,0.062197,0.004609683,0.0002155125,0.0005088345,0.001267236,0.2579764,0.6524018,0.00002131081,0.01414554,0.00150819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717111,0.00499708,0.0222493,0.00004118356,0.0003144169,0.00006636882,0.00001895714,0.00002704346,0.0005745522],"genre_scores_gemma":[0.9991629,0.0001025904,0.0006495494,0.000007737768,0.00004232841,0.000001005689,0.000001139084,0.00002840616,0.000004391025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6338665,"threshold_uncertainty_score":0.5403522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481988094517139,"score_gpt":0.1930772216121207,"score_spread":0.1782573406669493,"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."}}