{"id":"W4396896895","doi":"10.21203/rs.3.rs-4378703/v1","title":"Multi-objective robust decision-making for optimizing Subway Station Support Systems under spatial variability of soil parameters","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Environmental science; Agricultural engineering; Operations research; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00534841,0.002396428,0.004344884,0.001473566,0.000633701,0.002790335,0.001832901,0.003352773,0.002352102],"category_scores_gemma":[0.008126907,0.001763706,0.002015262,0.001550648,0.001300544,0.001639562,0.001857161,0.001948124,0.0002820779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875242,"about_ca_system_score_gemma":0.002148956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687672,"about_ca_topic_score_gemma":0.007069075,"domain_scores_codex":[0.9975384,0.001078647,0.0001199835,0.0004993912,0.0003525136,0.0004110372],"domain_scores_gemma":[0.9940391,0.004456465,0.0006776727,0.0001331318,0.0005108804,0.000182793],"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":[0.00003508017,0.00001645807,0.00008520543,0.00002229814,0.00003270658,0.00001494178,0.000009320751,0.9972324,0.0001559925,0.0003260404,0.0000555299,0.002013955],"study_design_scores_gemma":[0.000004936575,0.00002119443,0.00004847531,0.000002024543,0.000005234579,0.000001355672,0.000003723818,0.9995461,0.00007147794,0.0002746669,0.0000181723,0.000002594348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07668141,0.0005711218,0.9196042,0.0003633028,0.00006118328,0.0001428035,0.0002827668,0.000255719,0.002037555],"genre_scores_gemma":[0.940481,0.0002191238,0.05651599,0.00008453336,0.00005986731,0.0002949804,0.0002651839,0.00008048471,0.001998863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01687672,"threshold_uncertainty_score":0.033557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0494205568076239,"score_gpt":0.3482498518778657,"score_spread":0.2988292950702418,"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."}}