{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008035608,0.0004981974,0.0009413962,0.0008045159,0.0003699497,0.0006271424,0.001480643,0.001231008,0.002844953],"category_scores_gemma":[0.002391298,0.0004932793,0.0007371039,0.0007049684,0.000457636,0.0009394572,0.0004332004,0.0007483356,0.0007277379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007466897,"about_ca_system_score_gemma":0.0008140008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01451104,"about_ca_topic_score_gemma":0.01467992,"domain_scores_codex":[0.9996154,0.00008721378,0.00002136703,0.00008479984,0.0001446246,0.00004658655],"domain_scores_gemma":[0.9991873,0.0003759429,0.0001002615,0.00008740085,0.0002132683,0.00003582486],"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":[0.00001958229,0.00001625819,0.0004743612,0.000008800657,0.00001004981,0.00001745471,0.000007016008,0.987305,0.0005382609,0.001247,0.0002953826,0.01006075],"study_design_scores_gemma":[9.713751e-7,0.000005626895,0.0001195661,6.312979e-7,0.000002561284,0.000004266102,8.291989e-7,0.9993136,0.00008685399,0.00040577,0.00005759298,0.000001702558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08369332,0.0002510735,0.9120004,0.0002160563,0.00006502982,0.00004759345,0.0003622817,0.0008623325,0.002501955],"genre_scores_gemma":[0.9311998,0.0002705503,0.05907366,0.00004883343,0.00006633237,0.0001133907,0.0005786123,0.00009230388,0.008556483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01451104,"threshold_uncertainty_score":0.02885318,"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."}}