{"id":"W4405955014","doi":"10.1007/978-3-031-61507-8_13","title":"Silicate-Based and Alkali-Free Accelerators for Shotcrete Applications: Field Study","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Western University","funders":"","keywords":"Shotcrete; Alkali metal; Silicate; Materials science; Field (mathematics); Geology; Chemistry; Chemical engineering; Engineering; Geotechnical engineering; Mathematics; Organic chemistry; Pure mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002811224,0.0004985068,0.0006371851,0.0002897019,0.00007695675,0.0001022625,0.0005369632,0.0003838803,0.000308769],"category_scores_gemma":[0.0006630092,0.0005103862,0.00008142388,0.00007633145,0.00003516348,0.00007293202,0.0001814561,0.0002734738,0.000005618184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305105,"about_ca_system_score_gemma":0.00006693497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002305323,"about_ca_topic_score_gemma":0.0003042216,"domain_scores_codex":[0.9981712,0.00001539323,0.0004961754,0.0007530684,0.0002013071,0.0003628263],"domain_scores_gemma":[0.9971745,0.001684907,0.0001440367,0.0008679341,0.00006253876,0.00006605667],"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":[0.0006666714,0.0002729612,0.000253302,0.008226079,0.0003465693,0.00006473938,0.000915086,0.2324198,0.654259,0.02767646,0.0006698872,0.0742295],"study_design_scores_gemma":[0.003962841,0.0007260972,0.00006732428,0.002503425,0.0005531183,0.00001262312,0.00001827069,0.0214652,0.7972271,0.08761923,0.0818895,0.003955203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001877119,0.00158603,0.9868926,0.0003999311,0.0006535765,0.003830628,0.0003072016,0.000433052,0.004019875],"genre_scores_gemma":[0.9392721,0.0001209907,0.05292859,0.0007856699,0.0008017223,0.003533421,0.00008253691,0.0003323334,0.002142609],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.937395,"threshold_uncertainty_score":0.9997348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009063285092515,"score_gpt":0.2367683199912531,"score_spread":0.226677687140328,"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."}}