{"id":"W2172065902","doi":"10.1109/tsp.2004.831067","title":"Stochastic correlative learning algorithms","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Algorithm; Convergence (economics); Correlative; Artificial intelligence; Basis (linear algebra); Machine learning; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002332701,0.0001621533,0.0001378366,0.000219683,0.0004805675,0.0002399489,0.0003088937,0.00008736645,0.00001744402],"category_scores_gemma":[0.000003839543,0.0001613858,0.00006913216,0.0005639746,0.00006046424,0.0009552785,0.00000218587,0.0005863247,0.00007332001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068126,"about_ca_system_score_gemma":0.0002007018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001129633,"about_ca_topic_score_gemma":0.000003016793,"domain_scores_codex":[0.9988092,0.00006605922,0.0002169215,0.0003524613,0.0003284946,0.0002269198],"domain_scores_gemma":[0.9994633,0.00007759943,0.0001028727,0.0001470941,0.0001237124,0.00008539874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009237998,0.0001101871,3.521277e-7,0.00000730302,0.000009712221,0.00000541799,0.003508889,0.7077724,0.001031599,0.001035067,0.000003561546,0.2865063],"study_design_scores_gemma":[0.0009578902,0.0005808909,0.0000208264,0.0002894435,0.00002464383,0.00007911424,0.000319726,0.8715426,0.112042,0.01342777,0.0001541195,0.0005610646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008619481,0.00003641625,0.9968941,0.0003877129,0.00009823398,0.0001457688,8.032211e-7,0.0008470038,0.0007280518],"genre_scores_gemma":[0.9321464,0.000001967231,0.06725522,0.0002895289,0.00002370621,0.00003278645,5.256347e-7,0.00001643482,0.000233464],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9312844,"threshold_uncertainty_score":0.6581124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191684810308361,"score_gpt":0.2747970563767678,"score_spread":0.2528802082736842,"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."}}