{"id":"W2610189994","doi":"10.1080/1064119x.2017.1322648","title":"Nonlinear surface fit stability formula without any transition region for conventional breakwater design","year":2017,"lang":"en","type":"article","venue":"Marine Georesources and Geotechnology","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Nonlinear system; Dimensionless quantity; Breakwater; Stability (learning theory); Mathematics; Range (aeronautics); Benchmark (surveying); Goodness of fit; Nonlinear regression; Applied mathematics; Regression; Nonlinear modelling; Regression analysis; Mathematical analysis; Statistics; Mechanics; Computer science; Geology; Geotechnical engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001774099,0.0002166748,0.0002718939,0.00006118823,0.0003099803,0.00008671716,0.0002420396,0.0003369639,0.00002876365],"category_scores_gemma":[0.00006006433,0.0001962978,0.00007992449,0.00003456759,0.0002176084,0.0001005083,0.0000942507,0.0002509647,0.00000197898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002394879,"about_ca_system_score_gemma":0.000005943377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454193,"about_ca_topic_score_gemma":0.00006262115,"domain_scores_codex":[0.9990408,0.00001165253,0.0002190089,0.0002813006,0.0000850327,0.0003621779],"domain_scores_gemma":[0.9993322,0.00006412819,0.00005035081,0.0004425637,0.00004399492,0.00006673102],"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":[0.0007004058,0.000173745,0.004717201,0.001269108,0.0004368931,0.00003934805,0.0004359507,0.8729461,0.006893153,0.006752884,0.0009510784,0.1046842],"study_design_scores_gemma":[0.001707706,0.0003047101,0.00811808,0.00003395974,0.00006245506,0.0001340975,0.00006952698,0.9206419,0.005747036,0.02796108,0.03471852,0.0005009479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7794868,0.00008045548,0.2181939,0.001150689,0.0001123029,0.0003196203,0.00002295663,0.0005032629,0.0001300649],"genre_scores_gemma":[0.990821,0.00006086759,0.008817472,0.00002259835,0.00006743776,0.00003036905,0.00002414808,0.00003140145,0.000124697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2113342,"threshold_uncertainty_score":0.8004791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916531552068993,"score_gpt":0.2187357645860279,"score_spread":0.199570449065338,"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."}}