{"id":"W2018601194","doi":"10.1680/macr.2010.62.10.685","title":"Shear strength of reinforced recycled concrete beams with stirrups","year":2010,"lang":"en","type":"article","venue":"Magazine of Concrete Research","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Carleton University; Université Laval; Public Works and Government Services Canada","funders":"Public Works and Government Services Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Serviceability (structure); Structural engineering; Cracking; Materials science; Shear (geology); Mortar; Aggregate (composite); Superplasticizer; Deflection (physics); Beam (structure); Compressive strength; Geotechnical engineering; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001237903,0.0003562857,0.0007445791,0.0005379746,0.00009328723,0.00005531859,0.0008210703,0.0002769767,0.0006216787],"category_scores_gemma":[0.0003527366,0.0003112817,0.0001227093,0.001116311,0.000923383,0.0004119166,0.0001750508,0.001361299,0.0001003486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005751865,"about_ca_system_score_gemma":0.0002124179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001037389,"about_ca_topic_score_gemma":0.000008670218,"domain_scores_codex":[0.9964996,0.000122426,0.0007856918,0.0003920078,0.001270729,0.000929568],"domain_scores_gemma":[0.9967812,0.0006159362,0.0001564549,0.001138586,0.0009874298,0.0003204213],"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":[0.0005372401,0.0000014529,0.0006144244,0.0007024955,0.0002110918,0.00004261559,0.0003352797,0.00120848,0.9782026,0.003338015,0.002378499,0.01242774],"study_design_scores_gemma":[0.003091997,0.001094214,0.001435788,0.0004918014,0.00004319206,0.00006770581,0.0001397279,0.1415683,0.823545,0.00007416459,0.0277622,0.000685924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390532,0.0003504979,0.0003929262,0.0001103107,0.0002179551,0.0005301084,0.00005796275,0.0002099177,0.05907708],"genre_scores_gemma":[0.9914195,0.0004663711,0.006223044,0.000007878954,0.0001659018,0.00005308312,0.00003924276,0.0001181391,0.00150687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546576,"threshold_uncertainty_score":0.9999339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925012740486051,"score_gpt":0.2777423001631126,"score_spread":0.2584921727582521,"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."}}