{"id":"W2069504843","doi":"10.1139/t04-096","title":"Neural network based stochastic design charts for settlement prediction","year":2005,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Artificial neural network; Human settlement; Monte Carlo method; Set (abstract data type); Computer science; Econometrics; Engineering; Artificial intelligence; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002873716,0.001028679,0.0007765708,0.001104049,0.0003398612,0.0008172336,0.0005995824,0.0008243337,0.00183874],"category_scores_gemma":[0.0109672,0.0004270237,0.0005251757,0.0007351215,0.0006681695,0.0008695977,0.0005348129,0.0006719154,0.0002133144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179587,"about_ca_system_score_gemma":0.0007213036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005655919,"about_ca_topic_score_gemma":0.004167886,"domain_scores_codex":[0.9983096,0.0008216142,0.00009793645,0.0001795276,0.0005221285,0.00006916023],"domain_scores_gemma":[0.9940736,0.004004632,0.000707134,0.0002885299,0.0008597965,0.00006643222],"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":[0.00001804971,0.000005179561,0.0003388233,0.00001231322,0.000006130512,0.00001497928,0.000009821807,0.9896148,0.0002446796,0.00161426,0.0001257791,0.007995136],"study_design_scores_gemma":[0.000001629926,0.000007997241,0.00009560739,0.000004085475,0.000001885155,0.000004404281,0.000001063619,0.9985791,0.0002110817,0.0009488521,0.0001407219,0.000003551944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03029257,0.0002259173,0.9672107,0.0000759927,0.00002683072,0.0000381731,0.0001304111,0.0005238193,0.001475485],"genre_scores_gemma":[0.8673566,0.0003799029,0.1305193,0.00003474453,0.00003101019,0.0001849536,0.0003209224,0.00005365714,0.001118817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005655919,"threshold_uncertainty_score":0.01519787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202484227847091,"score_gpt":0.1926685302790568,"score_spread":0.1806436880005858,"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."}}