{"id":"W4226056439","doi":"10.1016/j.softx.2022.101077","title":"OpenIPDM: A probabilistic framework for estimating the deterioration and effect of interventions on bridges","year":2022,"lang":"en","type":"article","venue":"SoftwareX","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Context (archaeology); Probabilistic logic; Software; Process (computing); Scale (ratio); Intervention (counseling); Graphical user interface; Interface (matter); Software engineering; Psychological intervention; Work (physics); Data science; Artificial intelligence; Engineering; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000208653,0.00006721019,0.00009516301,0.00002590791,0.0001570739,0.00002021949,0.00007784259,0.00001706823,0.000008499936],"category_scores_gemma":[0.0003402535,0.00004938279,0.00005153707,0.00005570533,0.00001992642,0.00003158893,0.00004161316,0.0001192881,3.438517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003811258,"about_ca_system_score_gemma":0.000004520116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004092846,"about_ca_topic_score_gemma":0.000001367161,"domain_scores_codex":[0.9996186,0.00002562872,0.000120366,0.00007592106,0.00006416914,0.00009525339],"domain_scores_gemma":[0.9994977,0.0003387331,0.00003346742,0.0001049188,0.0000138474,0.00001140299],"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":[0.0001755328,0.00002694283,0.006670358,0.003151735,0.0001210365,0.000003246605,0.003020655,0.7389537,0.002385553,0.006693332,0.0008797262,0.2379182],"study_design_scores_gemma":[0.003126588,0.007211161,0.05316479,0.003699812,0.0005356946,0.00009290214,0.001276837,0.7945575,0.02503586,0.1077945,0.002192466,0.001312005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6698712,0.00009844754,0.3286684,0.00003018917,0.0007256758,0.0004853862,0.00002039807,0.0000831603,0.00001724002],"genre_scores_gemma":[0.9806091,7.256426e-7,0.01896007,0.00001036662,0.00008098892,0.0003120712,0.000005282631,0.000014445,0.000006953609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.310738,"threshold_uncertainty_score":0.2013772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359967662659341,"score_gpt":0.27602391637581,"score_spread":0.2624242397492166,"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."}}