{"id":"W7011467997","doi":"","title":"Metropolitan Water Reclamation District of Greater Chicago Board of Commissioners met March 1.","year":2018,"lang":"en","type":"other","venue":"","topic":"Landscape and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Land reclamation; Work (physics); Quarter (Canadian coin); Water industry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004975046,0.0001675093,0.0003726832,0.00009902544,0.00007393066,0.00002087199,0.0001315773,0.00007800126,0.08971433],"category_scores_gemma":[0.000004217892,0.00007239854,0.0001177325,0.00001829429,0.0002617328,0.00003157059,0.00006814157,0.00004723938,0.0002192131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002331381,"about_ca_system_score_gemma":0.000004044055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002409689,"about_ca_topic_score_gemma":0.001073676,"domain_scores_codex":[0.9992617,0.00003235423,0.0002379564,0.0001348961,0.0001877672,0.0001453426],"domain_scores_gemma":[0.9995847,0.000008489287,0.0001186143,0.0001767803,0.00008378955,0.00002764336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001501839,0.00002387024,0.000200782,0.0001459058,0.0002604341,3.220853e-7,0.003231995,4.790266e-9,0.00004562533,0.01614637,0.979666,0.0002636659],"study_design_scores_gemma":[0.0001674839,0.0001128122,0.00003364183,0.00008010034,0.00008831182,2.225247e-7,0.003469939,4.266713e-7,0.001638179,0.0002327689,0.9940407,0.0001353976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001115092,0.0001325303,0.000003011619,0.0002297849,0.0001993266,0.0001265262,0.00008714492,0.00004363938,0.998063],"genre_scores_gemma":[0.04823446,0.00007388092,0.00006820492,0.00003308746,0.0004045506,0.000007016461,0.0001215474,0.00006125606,0.950996],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08949512,"threshold_uncertainty_score":0.9111178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146405313925153,"score_gpt":0.2390364734430493,"score_spread":0.2075724203037978,"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."}}