{"id":"W3203924145","doi":"10.3390/w13192688","title":"A Probabilistic Model for Maximum Rainfall Frequency Analysis","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Instytut Meteorologii i Gospodarki Wodnej – Państwowy Instytut Badawczy","keywords":"Statistics; Mathematics; Autocorrelation; Spearman's rank correlation coefficient; Precipitation; Probability density function; Random variable; Correlation coefficient; Context (archaeology); Meteorology; Physics","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":[0.003370778,0.001014272,0.001401049,0.001831474,0.0009062561,0.00256538,0.00367245,0.002547319,0.009918389],"category_scores_gemma":[0.01170477,0.00104579,0.002113294,0.002105445,0.001372352,0.002589388,0.001660306,0.002380732,0.001681169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869485,"about_ca_system_score_gemma":0.002033786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142994,"about_ca_topic_score_gemma":0.008076605,"domain_scores_codex":[0.9982712,0.0004896327,0.0001115257,0.0004822791,0.0004263404,0.0002189917],"domain_scores_gemma":[0.994727,0.003662323,0.0005390602,0.0002694379,0.0006626628,0.0001395835],"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":[0.00003205469,0.0000227421,0.001063016,0.00005282581,0.0000366171,0.0001236552,0.00007283833,0.8833366,0.0003771744,0.1058259,0.001222616,0.007833969],"study_design_scores_gemma":[0.000008407053,0.000009261968,0.0001543288,0.000009285688,0.000008726276,0.00004136558,0.000007148527,0.975368,0.00006924267,0.02305407,0.001258536,0.00001157833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007507142,0.0002255756,0.9854387,0.0004420675,0.00006634036,0.00008855918,0.0008323507,0.0004251824,0.004974106],"genre_scores_gemma":[0.7237929,0.00149235,0.236619,0.0003534086,0.0003980585,0.001465574,0.002481632,0.0003928644,0.03300425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0142994,"threshold_uncertainty_score":0.0331803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297613592388412,"score_gpt":0.2278532443724046,"score_spread":0.2148771084485205,"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."}}