{"id":"W4313307914","doi":"10.21105/joss.04736","title":"PDENLPModels.jl: An NLPModel API for OptimizationProblems with PDE-Constraints","year":2022,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Canada First Research Excellence Fund","keywords":"Discretization; Partial differential equation; Mathematical optimization; Optimization problem; Applied mathematics; Domain (mathematical analysis); Class (philosophy); Mathematics; Computer science; Algebraic number; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001584234,0.00201801,0.001408142,0.00100716,0.0006416481,0.001845146,0.003343908,0.002447485,0.08814006],"category_scores_gemma":[0.005463794,0.00160162,0.002560353,0.001000791,0.0005843398,0.002483065,0.003653164,0.00465694,0.03018541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000909153,"about_ca_system_score_gemma":0.002241247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00360404,"about_ca_topic_score_gemma":0.009638417,"domain_scores_codex":[0.9992798,0.0001081019,0.00009287496,0.00009970197,0.0003365218,0.00008292619],"domain_scores_gemma":[0.9987239,0.0007445055,0.0000769966,0.0001923648,0.0002074555,0.00005471224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002608701,0.0003004842,0.002246565,0.003454736,0.0003108369,0.0005828923,0.0004649401,0.1234332,0.01204639,0.133869,0.5225683,0.2004619],"study_design_scores_gemma":[0.0003444913,0.00004458688,0.0007112004,0.0004523977,0.00005248956,0.0003588852,0.00005423241,0.4130025,0.00902383,0.06190235,0.5139521,0.000100959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001140603,0.0005426031,0.8621091,0.0003306275,0.0001824935,0.0002245927,0.01531147,0.1083339,0.01182452],"genre_scores_gemma":[0.03914034,0.002175989,0.7594246,0.001407879,0.0001943461,0.002455796,0.05452097,0.1120133,0.0286669],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08814006,"threshold_uncertainty_score":0.2948579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943672193238845,"score_gpt":0.2659581204421326,"score_spread":0.2465213985097442,"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."}}