{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003618826,0.0005455394,0.0002345489,0.0008299027,0.003533782,0.002000059,0.0005786471,0.001383869,0.3717853],"category_scores_gemma":[0.001114033,0.0002981895,0.00012018,0.0008781453,0.0004433186,0.0007945793,0.001339281,0.001462442,0.06662957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057048,"about_ca_system_score_gemma":0.00572316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1170748,"about_ca_topic_score_gemma":0.4357588,"domain_scores_codex":[0.9995831,0.00003622701,0.00001011878,0.0000632503,0.0001775264,0.0001297829],"domain_scores_gemma":[0.9991751,0.0000586347,0.00002670397,0.00003265443,0.000473823,0.0002329943],"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":[0.00004457457,0.00004212358,0.001585267,0.00005980047,0.000001598662,0.0001434064,0.000343648,0.00004327214,0.0003110055,0.00270564,0.9701662,0.02455361],"study_design_scores_gemma":[0.000005915767,0.00001066431,0.003143621,0.00004718618,0.000001082592,0.00001309417,0.0007899836,0.00004779871,0.0002460761,0.0001454983,0.995545,0.000003985302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01029541,0.0006459907,0.0004884081,0.004988474,0.001560107,0.0003453747,0.006997822,0.0007854151,0.973893],"genre_scores_gemma":[0.007232729,0.0002402714,0.0001700105,0.0003217757,0.00006193243,0.00005059595,0.001147159,0.0001084974,0.9906672],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3717853,"threshold_uncertainty_score":0.896072,"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."}}