{"id":"W1558982919","doi":"10.1016/j.conbuildmat.2015.05.083","title":"The performance of concrete exposed to marine environments: Predictive modelling and use of laboratory/on site test methods","year":2015,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast; Heriot-Watt University","keywords":"Repeatability; Term (time); Laboratory test; Test method; Test (biology); Environmental science; Marine engineering; Engineering; Computer science; Geotechnical engineering; Geology; Statistics; Biochemical engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007545663,0.0008693753,0.0006518914,0.0004620018,0.0003281632,0.0007569802,0.001386329,0.001152789,0.0008604832],"category_scores_gemma":[0.001360217,0.0003205081,0.000709964,0.0003855919,0.0006259078,0.0007275507,0.0003903025,0.0005595005,0.0002100847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00084918,"about_ca_system_score_gemma":0.0005184107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211639,"about_ca_topic_score_gemma":0.0100684,"domain_scores_codex":[0.9996744,0.00007892944,0.00002392263,0.00006086342,0.0001204405,0.00004131056],"domain_scores_gemma":[0.9988826,0.0006444246,0.0001194788,0.0001372464,0.0001778445,0.00003838231],"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":[0.0003339499,0.0005507592,0.007767457,0.0001093898,0.00003275043,0.00008703631,0.0001156983,0.9428659,0.03373297,0.0001978416,0.0001300454,0.01407619],"study_design_scores_gemma":[0.00001265086,0.0005973105,0.005502948,0.000008615153,0.00003184955,0.00002592706,0.0000620922,0.967039,0.0264789,0.0001105112,0.0001085841,0.00002157336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902946,0.0000819463,0.007936379,0.00001897451,0.000008301183,0.00002358913,0.0001157052,0.00009164178,0.001428919],"genre_scores_gemma":[0.9981765,0.00005375306,0.001409597,0.000002369478,0.000001381514,0.00001299284,0.00006760443,0.00001213445,0.0002637062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01211639,"threshold_uncertainty_score":0.02409178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450591469938615,"score_gpt":0.2425568596712397,"score_spread":0.2180509449718536,"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."}}