{"id":"W1998432264","doi":"10.1115/ipc2012-90604","title":"Measuring the Effectiveness of Damage Prevention Techniques and Defining the Key Performance Indicators on Damage Prevention Efficiency","year":2012,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline (software); Computer science; Process (computing); Risk analysis (engineering); Engineering; Computer security; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001517979,0.0001124384,0.0001337892,0.00009589503,0.0001621768,0.00002209161,0.0001531046,0.00007617125,0.00002019299],"category_scores_gemma":[0.00006590697,0.0000586028,0.00007831093,0.0003049483,0.0001083399,0.0002033648,0.00004122195,0.0002521686,0.000003227276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003781215,"about_ca_system_score_gemma":0.000005668822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002541241,"about_ca_topic_score_gemma":0.000006194301,"domain_scores_codex":[0.9991675,0.0002257814,0.0001803621,0.00009898233,0.0001694732,0.0001579094],"domain_scores_gemma":[0.999394,0.0002895433,0.00004827895,0.0002195538,0.00002251887,0.00002608308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003778072,0.0005745973,0.5039716,0.005586763,0.001077096,0.000001454368,0.01081008,0.04173154,0.05907194,0.06837303,0.00005918914,0.3083649],"study_design_scores_gemma":[0.0001727832,0.0001587118,0.4691513,0.000473585,0.0001318215,0.000006096664,0.0005557946,0.01014031,0.5182418,0.0006469112,0.0001323172,0.0001884848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927245,0.0003191119,0.001023593,0.00001274433,0.00007678618,0.0002545094,9.703344e-7,0.00009357234,0.005494201],"genre_scores_gemma":[0.9995847,0.0001043707,0.0002130986,0.000003198993,0.00002106905,0.0000267602,0.000002762108,0.000009108813,0.00003488641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4591699,"threshold_uncertainty_score":0.2389753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173001395579817,"score_gpt":0.236876393647581,"score_spread":0.2251463796917828,"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."}}