{"id":"W4251971363","doi":"10.1088/1755-1315/793/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prosperity; China; Event (particle physics); Library science; Political science; Computer science","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":[0.0002651063,0.0001449078,0.0001187388,0.00001721583,0.0005563402,0.000144391,0.0002114084,0.00004151666,0.0023334],"category_scores_gemma":[0.00005175214,0.0001376417,0.00002494839,0.0002293891,0.001903884,0.0007999314,0.000546413,0.000124285,0.0002484985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005137295,"about_ca_system_score_gemma":0.00003226122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006066033,"about_ca_topic_score_gemma":0.00003823236,"domain_scores_codex":[0.9983995,0.00003272756,0.0001540651,0.000525578,0.0004564508,0.0004316773],"domain_scores_gemma":[0.9994047,0.00001887946,0.00004862328,0.0002572654,0.000004204513,0.0002662796],"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":[0.00001560092,0.00006693068,0.03793233,0.000008064752,0.000003932564,0.00003460928,0.001475674,0.0001613007,0.8460975,0.0006416989,0.00005695139,0.1135054],"study_design_scores_gemma":[0.000217665,0.0001263918,0.393014,0.00002170402,0.000008116231,0.0001730189,0.002639547,0.0007156894,0.5782325,0.0004537914,0.02400022,0.0003972715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821689,0.00006835795,0.00009865103,0.0002859689,0.000149449,0.00006068113,0.000009516183,0.00003756205,0.01712097],"genre_scores_gemma":[0.992372,0.0001357713,0.002435537,0.0001120538,0.00003193141,0.000004940255,0.000005387486,0.000006503897,0.004895837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3550817,"threshold_uncertainty_score":0.9985786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203161268666394,"score_gpt":0.2231755466536845,"score_spread":0.2011439339670205,"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."}}