{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004297273,0.00005244122,0.00008715402,0.00009469724,0.00004980998,0.000004226757,0.0004146266,0.00002374417,0.00004613112],"category_scores_gemma":[0.00001390803,0.00004918042,0.00003288266,0.0002400515,0.00005024628,0.0002003815,0.0001414596,0.00002856077,0.000008453289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001367375,"about_ca_system_score_gemma":0.00002299033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001655144,"about_ca_topic_score_gemma":0.000005129914,"domain_scores_codex":[0.999517,0.00001017979,0.00009877495,0.0001380667,0.000142265,0.00009366551],"domain_scores_gemma":[0.9995236,0.00002506117,0.00004812225,0.0002889656,0.00007313961,0.00004115125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002557459,0.0004850127,0.01727317,0.00002114354,0.00005975889,0.0001275137,0.003006613,0.00177346,0.0009714747,0.9100869,0.03866351,0.02750587],"study_design_scores_gemma":[0.001613014,0.0006128213,0.185035,0.00002981607,0.0000182214,0.000300939,0.00007410218,0.7570295,0.03784753,0.01546086,0.001307748,0.0006704879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005956013,0.00001457947,0.9452997,0.00009721969,0.00004699267,0.00006388334,6.65489e-7,0.0002557067,0.04826523],"genre_scores_gemma":[0.6754762,0.00001532852,0.3226472,0.00004729484,0.000005395724,8.695415e-7,7.352922e-7,0.000002172867,0.001804861],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.894626,"threshold_uncertainty_score":0.2005519,"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."}}