{"id":"W7061326018","doi":"","title":"A Probabilistic cumulative damage model for service life prediction of concrete structures","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probabilistic logic; Service life; Service (business); Statistical model","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":[0.0001338238,0.00008838251,0.0001254279,0.0000494157,0.00001690136,0.0000050553,0.0000830563,0.00009406533,0.00004971905],"category_scores_gemma":[0.0001043835,0.00008924701,0.00002855457,0.000076066,0.00002261035,0.00004163139,0.00001325174,0.00008206171,4.88314e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001963268,"about_ca_system_score_gemma":0.00001351127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009802318,"about_ca_topic_score_gemma":0.00001198044,"domain_scores_codex":[0.999445,0.000006375779,0.0002089007,0.00009677328,0.00009967769,0.000143263],"domain_scores_gemma":[0.9995481,0.000110159,0.00003050445,0.0001612448,0.0001019403,0.00004805527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001389267,0.00000810727,0.00009416552,0.001431222,0.00006771307,0.000001528651,0.005198346,0.131714,0.8116146,0.04327422,0.004561907,0.001895273],"study_design_scores_gemma":[0.0001893728,0.0000535684,0.0009030244,0.00001712286,0.0000174252,6.102294e-7,0.00003407116,0.9366815,0.02695674,0.03496759,0.0001061559,0.00007279902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7507282,0.00001476289,0.2290957,0.00005342652,0.00007314041,0.000595518,0.00008171598,0.0003816856,0.01897576],"genre_scores_gemma":[0.9365135,0.000002375353,0.06327146,0.00006122357,0.00004220099,0.00001973643,0.000009484924,0.00001827703,0.00006167175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8049675,"threshold_uncertainty_score":0.3639387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339014621271727,"score_gpt":0.249226056624058,"score_spread":0.2258359104113407,"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."}}