{"id":"W7095207190","doi":"","title":"Pierre-Antoine ManzagolUniversity of Montreal","year":2008,"lang":"en","type":"article","venue":"","topic":"Stochastic Gradient Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frequentist inference; Stochastic gradient descent; Gradient descent; Convergence (economics); Computation; Generalization; Bayesian probability; Natural (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001310957,0.001692739,0.001721188,0.001691048,0.002996877,0.003946762,0.001439319,0.001241322,0.1790546],"category_scores_gemma":[0.006178456,0.0005547154,0.0007385166,0.002143163,0.001499876,0.001718609,0.001700744,0.002117826,0.07696739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00679459,"about_ca_system_score_gemma":0.01011481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3176781,"about_ca_topic_score_gemma":0.3316363,"domain_scores_codex":[0.9981617,0.0002845502,0.00004594002,0.0006333864,0.0005721782,0.0003021361],"domain_scores_gemma":[0.9958059,0.00127954,0.000134867,0.0004255683,0.001684653,0.0006695371],"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":[0.0005107415,0.0001846834,0.005948986,0.0005499743,0.00008970244,0.0008251747,0.0004674598,0.006153557,0.002810973,0.07145476,0.5293137,0.3816904],"study_design_scores_gemma":[0.00006716756,0.00004601582,0.005974762,0.0002064415,0.0000331725,0.0003036858,0.0002452032,0.0111534,0.003332946,0.01213045,0.966409,0.00009780224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0495634,0.06477995,0.1193484,0.1305386,0.01176957,0.0005044129,0.02367117,0.01089922,0.5889253],"genre_scores_gemma":[0.1483348,0.02139194,0.04639207,0.003301799,0.002574889,0.0003424496,0.008311202,0.001287134,0.7680638],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8209454,"threshold_uncertainty_score":0.6316581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562276099489856,"score_gpt":0.2052146714135378,"score_spread":0.1895919104186392,"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."}}