{"id":"W2784636304","doi":"10.3390/atmos9030086","title":"Evaluation of Analysis by Cross-Validation. Part I: Using Verification Metrics","year":2018,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Statistics; Correlation; Variance (accounting); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09792649,0.004939433,0.002269861,0.006325255,0.001355076,0.00375655,0.002785797,0.003303802,0.002058493],"category_scores_gemma":[0.1890502,0.00078086,0.002919744,0.003325124,0.001578898,0.003788032,0.003268881,0.002506387,0.0009574153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164403,"about_ca_system_score_gemma":0.002449969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005391848,"about_ca_topic_score_gemma":0.00487003,"domain_scores_codex":[0.923626,0.05063425,0.007801347,0.007505681,0.009193514,0.001239122],"domain_scores_gemma":[0.7757522,0.1628369,0.01169825,0.02245415,0.02582703,0.001431485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002445394,0.001374839,0.1152438,0.002312589,0.008122262,0.0005862228,0.0007664762,0.4698022,0.01281716,0.005683701,0.01641582,0.3644296],"study_design_scores_gemma":[0.000128894,0.000964521,0.01435417,0.0002423646,0.0003827032,0.0002570316,0.000200966,0.9661529,0.01011836,0.003922171,0.003178501,0.00009753298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1734997,0.004881009,0.8055264,0.0005267836,0.0007147373,0.001411319,0.00320054,0.006777379,0.003462146],"genre_scores_gemma":[0.5627689,0.0004820873,0.4252358,0.0003742378,0.0001724918,0.001501235,0.006813817,0.001514293,0.001137069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09792649,"threshold_uncertainty_score":0.5178909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08331941688392652,"score_gpt":0.3547576143085165,"score_spread":0.27143819742459,"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."}}