{"id":"W2182126702","doi":"","title":"Revisiting the Durst gust factor curve 1","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Statistics; Term (time); Wind speed; Factor (programming language); Meteorology; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001678228,0.00008122934,0.0001009333,0.00004118743,0.0001179645,0.0000218461,0.000219987,0.00002122391,0.002183531],"category_scores_gemma":[0.0001004365,0.00005630485,0.00006136765,0.0001107612,0.00004769287,0.0001369511,0.00001956176,0.000167828,0.00004064125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013961,"about_ca_system_score_gemma":0.00003361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347554,"about_ca_topic_score_gemma":0.02369875,"domain_scores_codex":[0.9994254,0.00000920339,0.0001700107,0.00005784221,0.0001014533,0.0002360689],"domain_scores_gemma":[0.9995816,0.00002589028,0.00006264872,0.00008445611,0.00001044855,0.0002349153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001091974,0.00001786311,0.8690585,0.00008304751,0.0002822804,0.001071687,0.02786394,0.03040313,0.003960957,0.0009006638,0.02800755,0.03833942],"study_design_scores_gemma":[0.0001907668,0.00004418802,0.8656802,0.0001776145,0.0000265074,0.000185698,0.0005284403,0.0007219333,0.0004413013,0.00008299005,0.1316424,0.000278001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109651,0.002163743,0.003450081,0.001639877,0.001650779,0.0001416636,0.00001800595,0.00002763668,0.07994314],"genre_scores_gemma":[0.9993606,0.0000124564,0.0001454835,0.00006031797,0.0002876676,5.473947e-7,8.910242e-8,0.000009778302,0.0001230989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1036348,"threshold_uncertainty_score":0.9987286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521841450861211,"score_gpt":0.174213895608939,"score_spread":0.1589954811003269,"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."}}