{"id":"W7005290883","doi":"","title":"Preparing for an Arizona of 10 million people : meeting the infrastructure challenges of growth : background report","year":2008,"lang":"en","type":"article","venue":"Arizona State University Library Digital Repository (Arizona State University)","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovative Research Group Project of the National Natural Science Foundation of China; Arizona State University","keywords":"Critical infrastructure; Investment (military); Water infrastructure; Quarter (Canadian coin); Information infrastructure; Work (physics); Public infrastructure; Transportation infrastructure","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001184002,0.0004902103,0.0006060457,0.0003384593,0.0009745588,0.00006019534,0.001162809,0.000155256,0.00003418577],"category_scores_gemma":[0.00003718969,0.0004811006,0.0003200085,0.0008631664,0.00113736,0.00527435,0.001580726,0.0002391973,0.000005336656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740425,"about_ca_system_score_gemma":0.0001847957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267475,"about_ca_topic_score_gemma":0.0005794163,"domain_scores_codex":[0.997025,0.0001865212,0.0005511892,0.0009684923,0.0006296316,0.000639169],"domain_scores_gemma":[0.9976935,0.0003611766,0.0007798288,0.0007557914,0.0001268628,0.0002828831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02269684,0.006018873,0.5721323,0.002300763,0.006344128,0.01147814,0.07155084,0.03081622,0.05603013,0.1427728,0.04623009,0.03162885],"study_design_scores_gemma":[0.01118029,0.01072502,0.4026349,0.0006820807,0.001171085,0.001748991,0.06425468,0.002886994,0.09217993,0.07732261,0.3289295,0.006283828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7372203,0.00006655724,0.0005566935,0.0001287346,0.0001365435,0.0004110938,0.0003516173,0.0001677741,0.2609606],"genre_scores_gemma":[0.977379,0.0002447703,0.0009879005,0.00001396789,0.00003278851,8.323123e-7,0.0001079417,0.00005740474,0.02117538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2826995,"threshold_uncertainty_score":0.9997641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077234007304819,"score_gpt":0.1638762183701717,"score_spread":0.1531038782971235,"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."}}