{"id":"W2351610335","doi":"","title":"Comprehensive treatment and utilization of side slope seepage in one residential quarter","year":2006,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Environmental science; Forensic engineering; Engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003911472,0.0001005629,0.0001592477,0.0001077538,0.00004440525,0.00002040287,0.00003841478,0.000052364,0.0000899751],"category_scores_gemma":[0.00000511351,0.00007388178,0.0000293157,0.0001236385,0.00004863124,0.00003291586,0.000003989177,0.00006578083,0.000007326584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002930373,"about_ca_system_score_gemma":0.00001620613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009214391,"about_ca_topic_score_gemma":0.03569274,"domain_scores_codex":[0.9993396,0.00007786094,0.000156763,0.0001725105,0.0001003305,0.0001528897],"domain_scores_gemma":[0.9997288,0.00006814721,0.00004469905,0.0001074676,0.0000156255,0.00003528618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005757347,0.0001543302,0.3549353,0.0001477492,0.00005950804,0.0001424817,0.004984766,0.04887138,0.00677867,0.00004880361,0.0004523805,0.5828489],"study_design_scores_gemma":[0.000587923,0.0002079939,0.9900699,0.00003723636,0.00001285248,0.0000196361,0.00008060427,0.003623186,0.001061742,0.002112491,0.002082242,0.000104223],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99498,0.0007749199,0.0001524609,0.0002546328,0.00005839102,0.0001290133,0.00003330466,0.00001637573,0.003600921],"genre_scores_gemma":[0.9988692,0.00006892426,0.0006960775,0.00004087501,0.00008268993,1.035774e-7,0.0001270715,0.000002694351,0.0001123223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6351346,"threshold_uncertainty_score":0.9973834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060820703739724,"score_gpt":0.2196744847133657,"score_spread":0.1990662776759684,"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."}}