{"id":"W4241359251","doi":"10.23952/jano.1.2019.2.02","title":"Differentiating through a cone program","year":2019,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Cone (formal languages); Computer science; Geometry; Mathematics; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00168488,0.0008736794,0.0008277214,0.0007756933,0.0007204548,0.002235014,0.001262022,0.0009140365,0.007473139],"category_scores_gemma":[0.005503934,0.0004569081,0.0009415954,0.0006499215,0.001623278,0.002074389,0.002024387,0.002150046,0.001749806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046451,"about_ca_system_score_gemma":0.00216651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684903,"about_ca_topic_score_gemma":0.004343246,"domain_scores_codex":[0.9991317,0.0001613437,0.0000368117,0.0001640959,0.0003933178,0.0001127754],"domain_scores_gemma":[0.9981717,0.0008461788,0.0001334064,0.0001833182,0.0005163298,0.0001491444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002038498,0.0002058634,0.003226089,0.0004263752,0.00005914348,0.000493144,0.0005133949,0.4496269,0.01407646,0.3809643,0.00965823,0.1405462],"study_design_scores_gemma":[0.00001357898,0.00003573632,0.0001537134,0.00003243413,0.000006725076,0.00008282458,0.00005300398,0.9227651,0.00359859,0.06738114,0.005863253,0.00001381458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01546936,0.00008929701,0.9764822,0.0002233368,0.00005647371,0.00005001839,0.0001186195,0.0008003659,0.006710283],"genre_scores_gemma":[0.2177183,0.0002815724,0.7674885,0.0003100608,0.00007559716,0.0001930739,0.0004515204,0.001681738,0.01179962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007473139,"threshold_uncertainty_score":0.02500015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252567016098609,"score_gpt":0.333545698837122,"score_spread":0.3082889972272611,"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."}}