{"id":"W2773051528","doi":"","title":"THEORETICAL MODEL ADEQUACY CREATION AND EVALUATION CONCERNINGTHE RELIABILITY OF QUARTER PIPELINES IN THE CITY OF KAZAN","year":2017,"lang":"es","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Material Properties and Failure Mechanisms","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Quarter (Canadian coin); Pipeline (software); Reliability (semiconductor); Reliability engineering; Engineering; Computer science; Power (physics); Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008216289,0.0003803,0.0003596038,0.001177327,0.0004350879,0.0008792062,0.0009502197,0.0004806419,0.001456196],"category_scores_gemma":[0.003134867,0.000237383,0.0005940526,0.0006173124,0.0005290325,0.000649083,0.0004416858,0.0003367707,0.0001954625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901153,"about_ca_system_score_gemma":0.001650756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359191,"about_ca_topic_score_gemma":0.01214661,"domain_scores_codex":[0.999503,0.0001749534,0.00002602956,0.00008551353,0.0001342506,0.00007627485],"domain_scores_gemma":[0.9989557,0.0004844559,0.0001281608,0.00009712042,0.0003094542,0.0000249903],"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":[0.0000476241,0.00003103147,0.01246228,0.00006499915,0.00002495268,0.0001225057,0.0002128459,0.959199,0.001037271,0.01619702,0.000490636,0.01010985],"study_design_scores_gemma":[0.000004198227,0.00004246744,0.005368051,0.00001222989,0.00001643019,0.00006076883,0.000130484,0.9861031,0.0004844524,0.007003108,0.000765474,0.0000094308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8043894,0.0004220096,0.1823045,0.0006077007,0.0000236958,0.00006005437,0.0006624226,0.0003294401,0.0112009],"genre_scores_gemma":[0.9943792,0.0001370377,0.00449039,0.000008057869,0.000004424166,0.0000344684,0.0002007031,0.0000101987,0.0007355157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02359191,"threshold_uncertainty_score":0.04690915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021291566620373,"score_gpt":0.2917376317594192,"score_spread":0.2704460651390462,"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."}}