{"id":"W4242807652","doi":"10.1088/1755-1315/837/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Beijing; Library science; Presentation (obstetrics); Pandemic; Coronavirus disease 2019 (COVID-19); Political science; Computer science; Medicine; Law","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001616885,0.0002186405,0.000176328,0.00002654254,0.0006636789,0.0001249083,0.0003117298,0.00004793873,0.003139462],"category_scores_gemma":[0.0000300745,0.0001973016,0.00003294451,0.0002924395,0.003011208,0.001034841,0.001127655,0.0001060305,0.0002747509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006901282,"about_ca_system_score_gemma":0.0000372875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333168,"about_ca_topic_score_gemma":0.0004555065,"domain_scores_codex":[0.9978926,0.00003755279,0.0001806907,0.0007281626,0.0005743706,0.0005866151],"domain_scores_gemma":[0.999279,0.00001775635,0.00005332716,0.0003485321,0.000005840634,0.0002955872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002225632,0.00009418014,0.006465616,0.000006162576,0.000009188122,0.00006478867,0.0008404332,0.00006763259,0.959369,0.009126062,0.0001904718,0.0237442],"study_design_scores_gemma":[0.0002686889,0.0001744903,0.2289613,0.00001422785,0.00001206456,0.0001768467,0.002005114,0.0002074084,0.7317265,0.005978694,0.03001777,0.0004568371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8761481,0.0001760826,0.00005538067,0.0006345183,0.0001412127,0.00007388806,0.00003487759,0.0000432471,0.1226927],"genre_scores_gemma":[0.9908403,0.0001879651,0.001218559,0.0003232824,0.00002191192,0.00001226918,0.000008146334,0.000009608072,0.007377949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2276425,"threshold_uncertainty_score":0.999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237235344961349,"score_gpt":0.1885423650725359,"score_spread":0.1761700116229224,"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."}}