{"id":"W4407195507","doi":"10.2139/ssrn.5127047","title":"Machine Learning Approaches for Rcpt Modeling of Concrete","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008983082,0.0009168237,0.001199933,0.001352871,0.0004834019,0.001588782,0.002171682,0.00174629,0.003272514],"category_scores_gemma":[0.003556137,0.0008238652,0.001404825,0.001409313,0.0007542637,0.001655579,0.0008404712,0.001557348,0.0008189752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657217,"about_ca_system_score_gemma":0.0009345676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01861739,"about_ca_topic_score_gemma":0.01211799,"domain_scores_codex":[0.9995379,0.0001399708,0.00003295145,0.0001332734,0.0001107497,0.00004516532],"domain_scores_gemma":[0.998498,0.001000378,0.0001471511,0.0001311647,0.0001823198,0.00004099843],"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":[0.000005996815,0.000009666188,0.0001658507,0.00002573835,0.0000111943,0.00001667599,0.00001411597,0.9822649,0.0002136691,0.005370653,0.0002208313,0.01168072],"study_design_scores_gemma":[3.890754e-7,0.000001173029,0.00002230598,0.000002259875,0.000001142351,0.000002072651,0.000001560145,0.9957922,0.00004889333,0.003970056,0.0001569588,0.000001078118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009714187,0.0005047386,0.9870101,0.0001848589,0.00002176518,0.00002946233,0.0001989951,0.0003840669,0.001951872],"genre_scores_gemma":[0.7362062,0.001402823,0.2489547,0.0001447237,0.0001622485,0.000244799,0.001217362,0.0003126175,0.01135444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01861739,"threshold_uncertainty_score":0.03701806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522760295186681,"score_gpt":0.2243915700372313,"score_spread":0.2091639670853645,"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."}}