{"id":"W1916674000","doi":"10.1139/cjce-2012-0427","title":"Plotting positions for fitting distributions and extreme value analysis","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Extreme value theory; Position (finance); Probability distribution; Computer science; Basis (linear algebra); Selection (genetic algorithm); Value (mathematics); Advice (programming); Statistics; Distribution (mathematics); Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01266788,0.002569355,0.001463238,0.005981087,0.001483044,0.004353229,0.002798462,0.002471665,0.02226046],"category_scores_gemma":[0.1115757,0.001214056,0.001613802,0.006629461,0.002184058,0.004649682,0.002981301,0.004578934,0.008545248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009509097,"about_ca_system_score_gemma":0.001691029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649957,"about_ca_topic_score_gemma":0.001298716,"domain_scores_codex":[0.9843159,0.009730096,0.0009685227,0.001430168,0.003193912,0.0003614291],"domain_scores_gemma":[0.9504197,0.03352293,0.003141827,0.006953564,0.005498357,0.0004635428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004420899,0.0002054343,0.004177371,0.0008810491,0.0001664183,0.000731175,0.001692987,0.1411201,0.00714081,0.3004844,0.0287446,0.5142137],"study_design_scores_gemma":[0.0001334676,0.000442414,0.002909352,0.0005525054,0.00009034072,0.001000955,0.0006774766,0.5496919,0.02130307,0.3179069,0.1049943,0.0002973352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001128539,0.00009056041,0.9945064,0.000112729,0.00009207947,0.00007096077,0.0001237914,0.001924545,0.001950329],"genre_scores_gemma":[0.03386107,0.0003005211,0.9608769,0.0001120141,0.0001146288,0.0004870921,0.0004274603,0.001728393,0.002091935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02226046,"threshold_uncertainty_score":0.07446867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924482234170223,"score_gpt":0.2589512555132052,"score_spread":0.2097064331715029,"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."}}