{"id":"W571574196","doi":"","title":"Deterministic Independent Component Analysis","year":2015,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Independent component analysis; Algorithm; Gaussian; Component (thermodynamics); Computer science; Mixing (physics); Mathematics; Matrix (chemical analysis); Polynomial; Applied mathematics; Artificial intelligence; Mathematical analysis; Physics","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":[0.0005822962,0.000138573,0.0001694595,0.0004830521,0.00006555134,0.0003842157,0.0009524565,0.00005160612,0.0001307472],"category_scores_gemma":[0.0001739221,0.0001310158,0.00008992721,0.0003316296,0.00002535858,0.0002845562,0.000249142,0.0003948259,0.000167781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009328776,"about_ca_system_score_gemma":0.0000903403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001171932,"about_ca_topic_score_gemma":0.00004850886,"domain_scores_codex":[0.9983686,0.0002097448,0.0002499802,0.0003464109,0.0006787669,0.0001464708],"domain_scores_gemma":[0.9990647,0.00007439789,0.0001679449,0.0002731691,0.0002905254,0.0001292555],"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":[0.00004366535,0.0001689595,0.01831567,0.000002462179,0.0003246402,0.00006100805,0.002021721,0.02346637,0.0005090723,0.9315175,0.0001800289,0.02338894],"study_design_scores_gemma":[0.0002772881,0.0001472494,0.004088186,0.000009369794,0.00001854807,0.00001027453,0.00004537811,0.9831398,0.0002646714,0.006652704,0.00517644,0.0001701063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02518108,0.0000125694,0.9069139,0.003770273,0.0002741663,0.00008961566,0.000003850229,0.000435673,0.06331888],"genre_scores_gemma":[0.9879904,0.000006943746,0.01014561,0.0006242365,0.00003621362,0.0000141203,0.00004496617,0.000007066202,0.0011304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9628094,"threshold_uncertainty_score":0.5342671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07364211003263099,"score_gpt":0.3404124261591362,"score_spread":0.2667703161265052,"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."}}