{"id":"W3039456968","doi":"10.1007/978-3-030-52243-8_7","title":"A New Approach to Estimate the Discharge Coefficient in Sharp-Crested Rectangular Side Orifices Using Gene Expression Programming","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Université Laval","funders":"","keywords":"Gene expression programming; Expression (computer science); Discharge coefficient; Body orifice; Computer science; Mathematics; Physics; Biology; Programming language; Artificial intelligence; Anatomy; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000692928,0.0004225991,0.0005519362,0.00009156037,0.0002245622,0.0001627848,0.000453116,0.0001727147,0.00002033627],"category_scores_gemma":[0.0001041078,0.0003005425,0.00006866366,0.0002323004,0.0001119595,0.0001160216,0.0006612811,0.0005075175,0.00003908035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765494,"about_ca_system_score_gemma":0.00001715992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004563965,"about_ca_topic_score_gemma":0.00005580395,"domain_scores_codex":[0.9971967,0.00009615364,0.0007890806,0.0009823616,0.0004559832,0.0004797075],"domain_scores_gemma":[0.9989558,0.0001655573,0.0003735093,0.0003067222,0.0000104647,0.0001879416],"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":[0.00002612337,0.00002966229,0.001070485,0.0001208051,0.000007209608,0.00003057976,0.001417978,0.9451523,0.0005047256,0.001115748,0.00001463529,0.05050972],"study_design_scores_gemma":[0.0002001145,0.0001337925,0.00006042558,0.003660451,0.00002895183,0.00008835949,0.0002455969,0.9139818,0.0003662625,0.0006117556,0.07981949,0.0008030083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1174265,0.01722561,0.7892566,0.0001593484,0.002036159,0.005659533,0.00001730439,0.0003482533,0.06787067],"genre_scores_gemma":[0.8791202,0.0001638863,0.1160332,0.0001563531,0.0005029533,0.00004605115,0.00003354348,0.0001498811,0.003793879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7616938,"threshold_uncertainty_score":0.9999447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596587286635721,"score_gpt":0.2997776852221093,"score_spread":0.2638118123557521,"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."}}