{"id":"W3209316047","doi":"10.5281/zenodo.20422944","title":"JuliaNLSolvers/Optim.jl: v1.2.1","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001239432,0.0001097804,0.0001373807,0.00004017541,0.00007580955,0.0004202089,0.00201594,0.00004487943,0.0009122101],"category_scores_gemma":[0.00008444212,0.0001085057,0.00003653222,0.0004276694,0.00003065438,0.0006427773,0.0008413864,0.0000883358,0.001297498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002132487,"about_ca_system_score_gemma":0.00006834562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006905922,"about_ca_topic_score_gemma":8.429274e-7,"domain_scores_codex":[0.9989959,0.00002480281,0.0001756103,0.0004267588,0.0001874299,0.0001895247],"domain_scores_gemma":[0.9992687,0.0000362999,0.00007425603,0.0003931477,0.00005780202,0.0001697848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000604845,0.0002881723,0.0005550607,0.00002007992,0.0001013,0.0001891916,0.01488282,0.005455695,0.002699703,0.06867345,0.1256294,0.7814447],"study_design_scores_gemma":[0.001230398,0.0006012394,0.0001907221,0.00005175484,0.00002285365,0.00002972793,0.0001587579,0.611177,0.03791522,0.002255844,0.3455241,0.0008423916],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004407806,0.00001631337,0.9441844,0.004858002,0.0001229331,0.0003358381,0.000003587415,0.00003366346,0.0500045],"genre_scores_gemma":[0.07753406,0.000003028278,0.9204251,0.001186937,0.00004565528,0.00001772695,0.000004673421,0.00001027354,0.0007725471],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7806023,"threshold_uncertainty_score":0.9994801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07505916285750394,"score_gpt":0.2992024059540006,"score_spread":0.2241432430964967,"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."}}