{"id":"W4318977537","doi":"10.1007/978-3-031-10602-6_4","title":"Background on Optimization","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004755641,0.00167128,0.001202338,0.001424415,0.0006967557,0.002031955,0.001064715,0.001295913,0.06581637],"category_scores_gemma":[0.001228795,0.0007059923,0.0007691453,0.002624813,0.001115841,0.002157941,0.00110862,0.00293284,0.04259132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062663,"about_ca_system_score_gemma":0.00102794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159592,"about_ca_topic_score_gemma":0.002849154,"domain_scores_codex":[0.9995844,0.00007058311,0.00001719995,0.00007967769,0.0002207102,0.0000274726],"domain_scores_gemma":[0.9996717,0.0001656051,0.00001268451,0.00004718225,0.00008188085,0.00002107619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001196696,0.00006320259,0.00006626456,0.0004956268,0.00001871505,0.00004292195,0.0000990917,0.008933525,0.0008977809,0.4531751,0.2763796,0.2598163],"study_design_scores_gemma":[0.000005282689,0.00001675032,0.0001578582,0.0002804052,0.000007956672,0.00009302216,0.00002008657,0.006880494,0.000426339,0.2638578,0.7282361,0.00001791611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006544717,0.03804349,0.2131179,0.003123927,0.002359071,0.00007795371,0.0006174588,0.001005262,0.7410005],"genre_scores_gemma":[0.01711462,0.04822133,0.09230639,0.002283027,0.003704234,0.000272269,0.00104882,0.001566952,0.8334823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06581637,"threshold_uncertainty_score":0.2201777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05160478755999781,"score_gpt":0.2582168002821748,"score_spread":0.206612012722177,"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."}}