{"id":"W4395016558","doi":"10.2139/ssrn.4798974","title":"An Information-Theoretic Framework for Joint Cs-Ica Recovery of Sparse Biosignals","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Joint (building); Independent component analysis; Computer science; Artificial intelligence; Pattern recognition (psychology); Engineering","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":[0.003965102,0.001640569,0.001490066,0.002117113,0.0007017995,0.003139408,0.00209509,0.001963029,0.003850115],"category_scores_gemma":[0.01189792,0.0007772141,0.001682878,0.002617573,0.003209386,0.003899439,0.003874586,0.003320355,0.001159831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240155,"about_ca_system_score_gemma":0.001910911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849799,"about_ca_topic_score_gemma":0.00162151,"domain_scores_codex":[0.9977708,0.0008611284,0.0001426359,0.0002784761,0.0008079456,0.0001390929],"domain_scores_gemma":[0.9950137,0.003208032,0.0004089456,0.0005891873,0.0006265888,0.00015346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008997866,0.000054019,0.0001831674,0.0002318646,0.00008274524,0.0001396994,0.000110946,0.2010009,0.003721578,0.7472225,0.003094407,0.04406811],"study_design_scores_gemma":[0.00001198206,0.00005414596,0.0001018916,0.00004260553,0.0000252531,0.00009548834,0.00002113395,0.6665209,0.0009545402,0.3297591,0.002383078,0.00002996773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008858358,0.0002312575,0.9971431,0.0002535764,0.00003385956,0.00001478976,0.00007763698,0.00003801788,0.001321935],"genre_scores_gemma":[0.2965917,0.003696638,0.6854591,0.0007285543,0.001477439,0.0004072071,0.0008626528,0.0002832783,0.0104935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003965102,"threshold_uncertainty_score":0.02096969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584924477060039,"score_gpt":0.2980329010544855,"score_spread":0.2821836562838851,"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."}}