{"id":"W4402012491","doi":"10.9734/jsrr/2024/v30i92346","title":"Impact of Geotechnical Engineering on Infrastructure Lifespan and Maintenance Costs","year":2024,"lang":"en","type":"article","venue":"Journal of Scientific Research and Reports","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Engineering; Civil engineering; Geotechnical investigation; Schedule; Engineering economics; Foundation (evidence); Construction engineering; Transport engineering; Geotechnical engineering; Business; Computer science; Geography","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":[0.001572669,0.0001101699,0.0002031467,0.0005973316,0.00007370877,0.0002455276,0.00008863834,0.00008211287,0.000009545777],"category_scores_gemma":[0.0002656175,0.00007031985,0.00007822424,0.0004328467,0.0002200686,0.0002045995,0.00005067968,0.0007272547,4.302308e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510103,"about_ca_system_score_gemma":0.0001137368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005177741,"about_ca_topic_score_gemma":5.394425e-7,"domain_scores_codex":[0.9985515,0.0000135228,0.0004002735,0.0001692384,0.0005327201,0.0003326701],"domain_scores_gemma":[0.9992018,0.00009613486,0.0000580541,0.000166697,0.0002808254,0.0001965161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001936267,0.00008036233,0.02335212,0.001640974,0.000704321,0.01071081,0.001547986,0.1041787,0.6453134,0.001691762,0.08388643,0.1266995],"study_design_scores_gemma":[0.001168973,0.003961903,0.7333581,0.01124186,0.00008535768,0.03483904,0.0006581641,0.07132407,0.07317913,0.01186644,0.05719116,0.001125818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961559,0.001638177,0.0002687991,0.00003794757,0.001556233,0.00007798913,0.000003635192,0.00002414434,0.0002371468],"genre_scores_gemma":[0.9990591,0.0002645463,0.0002855206,8.024087e-7,0.0002526355,0.00000108391,6.409825e-7,0.00001599896,0.0001196488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7100059,"threshold_uncertainty_score":0.31596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297165325258197,"score_gpt":0.3085048751101294,"score_spread":0.2955332218575474,"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."}}