{"id":"W7096556383","doi":"","title":"SCALE EFFECTS ON DESIGN ESTIMATION OF SCOUR DEPTHS AT PIERS By","year":2014,"lang":"en","type":"article","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permission; Windsor; Scale (ratio); Estimation; Legislation","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":[0.009662543,0.0006086587,0.0007538922,0.001979601,0.0005896844,0.00193058,0.001028152,0.0008534502,0.01385476],"category_scores_gemma":[0.1013183,0.0004781774,0.001393226,0.002536446,0.0006810007,0.001045621,0.001596245,0.0006858066,0.001661472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173635,"about_ca_system_score_gemma":0.001204259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021439,"about_ca_topic_score_gemma":0.01318069,"domain_scores_codex":[0.989994,0.00641005,0.0003179072,0.001381163,0.001574876,0.0003219818],"domain_scores_gemma":[0.9302953,0.05707037,0.002865261,0.004788902,0.004230882,0.0007493107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002259389,0.0004206746,0.4321204,0.001122205,0.0009990989,0.0002103194,0.002430559,0.1005036,0.006100236,0.0150663,0.009284523,0.4294826],"study_design_scores_gemma":[0.0002760258,0.00171705,0.6474016,0.0003252675,0.000566477,0.0001457045,0.003048258,0.3087656,0.007644247,0.01398808,0.01595602,0.000165628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7154426,0.0004929099,0.2597696,0.0002279503,0.0001238654,0.0005821226,0.002641577,0.001013715,0.01970575],"genre_scores_gemma":[0.95276,0.00008360899,0.04281078,0.00002316907,0.00001205075,0.0003066877,0.001205151,0.0001729033,0.002625554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385476,"threshold_uncertainty_score":0.05110103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121071721409514,"score_gpt":0.4060129702844302,"score_spread":0.2939057981434788,"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."}}