{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625558,0.00114002,0.0008789904,0.002981472,0.002529002,0.005204895,0.001725156,0.001623433,0.5471786],"category_scores_gemma":[0.009028425,0.0003679809,0.0007475765,0.002328097,0.0007151027,0.003544975,0.002709262,0.003069402,0.3810351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002257894,"about_ca_system_score_gemma":0.002849666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003643524,"about_ca_topic_score_gemma":0.003342704,"domain_scores_codex":[0.9986755,0.0001787845,0.0001076979,0.0002770909,0.0006248993,0.0001358825],"domain_scores_gemma":[0.9952053,0.000621994,0.0001820171,0.0004212011,0.002871667,0.0006978852],"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":[0.00002887374,0.00001826909,0.0001063046,0.000127807,0.000002167634,0.00004607599,0.00008148426,0.00006174028,0.0001151129,0.003192412,0.9578349,0.03838484],"study_design_scores_gemma":[0.000003477086,0.00001185182,0.00022884,0.0001181295,0.000001308782,0.00004778397,0.00007384422,0.00002041795,0.00005478794,0.001114616,0.998321,0.000003928974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001722566,0.01186779,0.006153143,0.03266517,0.1459071,0.0007352863,0.020932,0.002676891,0.7773401],"genre_scores_gemma":[0.007610034,0.006989373,0.00273845,0.006845348,0.01905726,0.0003924959,0.01851989,0.001154769,0.9366924],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5471786,"threshold_uncertainty_score":0,"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."}}