{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003962799,0.001464834,0.001330114,0.002944098,0.0006016776,0.002474439,0.003966925,0.001704036,0.007173407],"category_scores_gemma":[0.01016857,0.001532608,0.002275126,0.001513505,0.001218914,0.001830213,0.002334066,0.001627058,0.001090039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055046,"about_ca_system_score_gemma":0.003424982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03888398,"about_ca_topic_score_gemma":0.0383681,"domain_scores_codex":[0.9984745,0.0004893159,0.00009482882,0.0003221944,0.0005144725,0.0001046141],"domain_scores_gemma":[0.9966642,0.002128198,0.000363115,0.0002875054,0.0004407384,0.000116204],"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":[0.00002534819,0.00002140051,0.001068969,0.0001124102,0.00005679774,0.00005872864,0.0000515694,0.9503075,0.0006018429,0.02220936,0.001436493,0.02404957],"study_design_scores_gemma":[0.000008573429,0.00001571988,0.0002809328,0.00002148774,0.00001494822,0.00004777134,0.000009273863,0.9818727,0.0003867196,0.01381506,0.003508789,0.00001792398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001006407,0.00007237277,0.9969373,0.00003573975,0.000009086512,0.00002877278,0.0003303539,0.0009037844,0.0006761548],"genre_scores_gemma":[0.1525646,0.0007061441,0.8385887,0.0001056017,0.00007764727,0.0004894171,0.002371932,0.0008675195,0.004228408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03888398,"threshold_uncertainty_score":0.07731533,"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."}}