{"id":"W2120937213","doi":"10.1109/wcica.2006.1712600","title":"Multi-Innovation Stochastic Gradient Identification Methods","year":2006,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Convergence (economics); Identification (biology); Computer science; Rate of convergence; Tracking (education); Stochastic approximation; Algorithm; Estimation theory; Mathematical optimization; Mathematics; Key (lock)","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":[0.00196776,0.0008854669,0.001455729,0.001006539,0.0004117555,0.0009060619,0.001494105,0.001198582,0.001749435],"category_scores_gemma":[0.004576687,0.0004570806,0.0009806551,0.0009856171,0.0007838703,0.001603697,0.001185613,0.001331922,0.0007736514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007140692,"about_ca_system_score_gemma":0.001013411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846905,"about_ca_topic_score_gemma":0.001331645,"domain_scores_codex":[0.9984871,0.0004992004,0.00009098092,0.000249805,0.0005801231,0.00009279191],"domain_scores_gemma":[0.9983901,0.0008190572,0.0001620279,0.0001707926,0.000402004,0.00005602564],"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":[0.0001136917,0.00006973335,0.001222318,0.000374865,0.000191163,0.0001044296,0.0001041691,0.599232,0.004991378,0.118276,0.003405175,0.271915],"study_design_scores_gemma":[0.000007324622,0.00001676604,0.0001259182,0.000007370688,0.000007794039,0.00003435381,0.000003054819,0.986099,0.001026288,0.01083004,0.001831447,0.00001065499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001658641,0.0003367995,0.996968,0.00008207514,0.00004878212,0.00001937823,0.00001383257,0.000145053,0.0007274778],"genre_scores_gemma":[0.337373,0.001426997,0.6521912,0.000276965,0.0002768404,0.0002464319,0.000198597,0.0001604577,0.007849607],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00196776,"threshold_uncertainty_score":0.01040661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830534437965687,"score_gpt":0.2790931153831547,"score_spread":0.2607877710034978,"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."}}