{"id":"W7162102891","doi":"10.82308/34344","title":"Maximum likelihood estimation for parameters of chloride induced corrosion of concrete bridges","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinforced concrete; Corrosion; Statistical analysis; Electrochemical noise; Pitting corrosion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001597594,0.0007016145,0.0006044593,0.0005096445,0.0003050611,0.0008256818,0.0008634865,0.001208975,0.001830905],"category_scores_gemma":[0.00875678,0.000891342,0.0008446327,0.0003532127,0.00037551,0.0008575448,0.0005256838,0.001145787,0.0007124752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007432902,"about_ca_system_score_gemma":0.001258373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012174,"about_ca_topic_score_gemma":0.009506407,"domain_scores_codex":[0.9996098,0.0001874865,0.00001747259,0.0000923684,0.00005630005,0.00003663161],"domain_scores_gemma":[0.9972724,0.002216934,0.0001843281,0.00009343673,0.0001881229,0.00004487413],"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":[0.0001380179,0.00004297128,0.00392113,0.00007963946,0.00005233014,0.00004631987,0.00006192493,0.963941,0.002815234,0.001344538,0.0003778464,0.02717898],"study_design_scores_gemma":[0.000009197233,0.000017911,0.001761043,0.000007889207,0.000004265302,0.00001244638,0.00001096987,0.9964324,0.0007857911,0.0007855427,0.000161785,0.00001064891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1790048,0.0004172602,0.8173472,0.0003632626,0.00001953076,0.00007070446,0.0004933174,0.001145929,0.001137909],"genre_scores_gemma":[0.8887897,0.0002192006,0.1054886,0.00005409326,0.00001776362,0.0001827435,0.001406843,0.0001591098,0.003681914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01012174,"threshold_uncertainty_score":0.02012563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597969716026627,"score_gpt":0.2526089195145602,"score_spread":0.236629222354294,"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."}}