{"id":"W4402465124","doi":"10.1007/978-3-031-70145-0_15","title":"Evaluation of BFRP Macro Fibre as Reinforcement for Energy-Efficient Manufacturing of Precast Concrete with Enhanced Mechanical Properties","year":2024,"lang":"en","type":"book-chapter","venue":"Rilem bookseries","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Precast concrete; Macro; Reinforcement; Materials science; Composite material; Structural engineering; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006453541,0.0005801537,0.0008395728,0.0001854875,0.0000522575,0.00005254263,0.0002126726,0.000269484,0.000619309],"category_scores_gemma":[0.00003066951,0.0004805938,0.0001736367,0.00003122193,0.0001803062,0.0001112184,0.0001247905,0.0001433903,0.00001362959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092182,"about_ca_system_score_gemma":0.0002260044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001219885,"about_ca_topic_score_gemma":0.000005454671,"domain_scores_codex":[0.9972129,0.0000188151,0.001040482,0.0003668851,0.001031175,0.0003296714],"domain_scores_gemma":[0.9982506,0.00005376574,0.0004097073,0.0004298133,0.0008059152,0.00005019497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007115304,0.000001746749,2.079824e-8,0.005634215,0.001899194,0.000003115564,0.0009285796,0.1147416,0.3881013,0.4851165,0.0002362306,0.002625947],"study_design_scores_gemma":[0.0006204669,0.000606933,1.014111e-7,0.002536177,0.0005870917,0.00000482548,0.00007655533,0.0229417,0.9523486,0.002478422,0.01730374,0.000495368],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06017179,0.002127094,0.02997226,0.00003107038,0.001915259,0.006355097,0.0007781418,0.000667844,0.8979814],"genre_scores_gemma":[0.9303477,0.00008778966,0.0003931704,0.00001234562,0.00015722,0.000428069,0.0001738926,0.0001874899,0.06821229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.870176,"threshold_uncertainty_score":0.9997646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773668730737094,"score_gpt":0.2309100957155247,"score_spread":0.2031734084081538,"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."}}