{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003045151,0.0003249451,0.000788364,0.0006592107,0.0001247279,0.0001326623,0.000281,0.0004808521,0.00005364659],"category_scores_gemma":[0.0006842419,0.0002658128,0.0008708065,0.00025193,0.00007289998,0.0001229986,0.0001195302,0.006204059,0.00003446227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000874427,"about_ca_system_score_gemma":0.004475983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005488758,"about_ca_topic_score_gemma":0.00001409103,"domain_scores_codex":[0.9968153,0.0001088659,0.0009886012,0.0002857749,0.0004546943,0.001346805],"domain_scores_gemma":[0.9978607,0.0001560364,0.0008310084,0.0005537973,0.0004066673,0.0001917925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002356426,0.001068548,0.004413067,0.006233755,0.01825432,0.0000336576,0.003383688,0.007929753,0.002862683,0.4385278,0.001849959,0.5130863],"study_design_scores_gemma":[0.0004334497,0.001258163,0.00007605832,0.002055029,0.002099242,0.0001767129,0.001191075,0.002854001,0.001871833,0.9873288,0.0003827999,0.0002728165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4803559,0.01603036,0.4952752,0.003621577,0.002568515,0.00100563,0.000195865,0.0001829025,0.0007640368],"genre_scores_gemma":[0.9715715,0.01603909,0.009906354,0.0001110388,0.001811262,0.00003776452,0.00009193608,0.00005892094,0.0003721453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.548801,"threshold_uncertainty_score":0.9999794,"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."}}