{"id":"W1968157945","doi":"10.1061/(asce)0733-9437(2006)132:5(486)","title":"Nonlinear PLS Method for Side Weir Flows","year":2006,"lang":"en","type":"article","venue":"Journal of Irrigation and Drainage Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Weir; Discharge coefficient; Dimensionless quantity; Nonlinear system; Flow (mathematics); Mechanics; Mathematics; Engineering; Materials science; Mechanical 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":[0.000316939,0.0001205006,0.0001949572,0.0001457154,0.00003515782,0.00004397862,0.00006233204,0.00006540779,0.000007568205],"category_scores_gemma":[0.0000757981,0.0001074941,0.00008381211,0.00008489915,0.00000569414,0.0001613952,0.000006256849,0.0001412622,7.207378e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004163272,"about_ca_system_score_gemma":0.00001186653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003884329,"about_ca_topic_score_gemma":0.000004382117,"domain_scores_codex":[0.9993128,0.000007645802,0.0003255759,0.00006409941,0.0001401948,0.0001497409],"domain_scores_gemma":[0.9996387,0.0001015744,0.00005252791,0.00006112782,0.00007969592,0.00006641241],"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":[0.000009682299,0.000007641599,0.000004609016,0.0001710777,0.00004618825,0.00001590219,0.0001985416,0.9038373,0.07500646,0.009061967,0.0006435795,0.01099703],"study_design_scores_gemma":[0.0006070316,0.00004617066,0.0004950127,0.00005058255,0.00002609558,0.00009978216,0.00003137933,0.9487644,0.0138849,0.005961354,0.02987255,0.0001606783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05708026,0.0005996132,0.9377824,0.00009818037,0.000540522,0.0001013842,0.000007249117,0.00008138476,0.003709031],"genre_scores_gemma":[0.7569002,0.000006597841,0.2422102,0.00002965066,0.0007585143,0.000003459321,0.000004195765,0.00003047857,0.00005672773],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6998199,"threshold_uncertainty_score":0.4383482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004344546742505037,"score_gpt":0.2174526425811699,"score_spread":0.2131080958386649,"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."}}