{"id":"W4406287199","doi":"10.53555/sfs.v10i1.3279","title":"Comprehensive Evaluation of Geopolymer Concrete for Enhanced Railway Sleeper Performance","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolymer; Geopolymer cement; Geotechnical engineering; Forensic engineering; Materials science; Structural engineering; Civil engineering; Engineering; Composite material; Compressive strength","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002843239,0.00009237668,0.0002346973,0.0002342974,0.00004272358,0.00002616604,0.0001996826,0.00004635927,0.00001680762],"category_scores_gemma":[0.0002649496,0.00007970185,0.00005110583,0.0006782131,0.0001465711,0.0003425248,0.00001271394,0.00009518935,0.00000158667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004155965,"about_ca_system_score_gemma":0.00007714146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002089331,"about_ca_topic_score_gemma":0.00002366028,"domain_scores_codex":[0.9988132,0.00006128805,0.0004056648,0.00007926522,0.0004457584,0.0001947868],"domain_scores_gemma":[0.9990076,0.0003925484,0.0001105378,0.0000726166,0.0003827942,0.00003391572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003428502,0.000003009113,0.04063949,0.0001002148,0.00002794344,5.361576e-7,0.000831598,0.9391896,0.01331985,0.000009062828,0.0005334191,0.005311067],"study_design_scores_gemma":[0.0007563447,0.0002677084,0.3415661,0.0001044082,0.00001544989,0.000005594668,0.0004466222,0.639012,0.01726404,0.00009764788,0.0002899645,0.0001741334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970437,0.0002951909,0.001135471,0.00001973482,0.001001171,0.00009734029,0.0000195079,0.00002391801,0.0003639207],"genre_scores_gemma":[0.9990263,0.0002083193,0.0006669188,0.000005609122,0.00004021814,0.000006480977,0.000004914146,0.000009827072,0.0000314334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3009266,"threshold_uncertainty_score":0.3250147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321483846557125,"score_gpt":0.2827305157415114,"score_spread":0.150582131085799,"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."}}