{"id":"W1980583274","doi":"10.1109/ijcnn.2013.6706813","title":"Biologically plausible feature selection through relative correlation","year":2013,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Feature selection; Correlation; Generalization; Artificial intelligence; Computer science; Linear regression; Pattern recognition (psychology); Regression; Noise (video); Feature (linguistics); Outcome (game theory); Least-squares function approximation; Machine learning; Mathematics; Statistics","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":[0.002245173,0.0006775418,0.0008073797,0.0007194054,0.0004689304,0.001169977,0.001257799,0.0007380687,0.001235152],"category_scores_gemma":[0.008184174,0.0005296047,0.0007399448,0.0007235903,0.001487912,0.00181765,0.001250817,0.001175806,0.0003368319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008592854,"about_ca_system_score_gemma":0.0009898338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982572,"about_ca_topic_score_gemma":0.001851927,"domain_scores_codex":[0.9990625,0.0003599529,0.00003754302,0.0002342267,0.000216915,0.0000889512],"domain_scores_gemma":[0.9977811,0.001256594,0.000284279,0.0003391661,0.0002629154,0.00007603657],"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":[0.0004176963,0.0001314223,0.005080235,0.0001311935,0.0001604204,0.0003998302,0.0002341866,0.6825706,0.04040268,0.0908749,0.001711269,0.1778856],"study_design_scores_gemma":[0.00002067394,0.00004880809,0.0008021996,0.000006007653,0.00001496942,0.0000691353,0.00001144602,0.9598469,0.004249581,0.03457323,0.0003397148,0.00001736871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06971519,0.0001105502,0.9278643,0.0003148097,0.00001607347,0.00003289898,0.00004236375,0.0004029172,0.001500962],"genre_scores_gemma":[0.8456092,0.0001107644,0.1524213,0.0001543447,0.00002739203,0.0001067898,0.0001123335,0.00009868161,0.001359191],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002245173,"threshold_uncertainty_score":0.01187372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874084832724841,"score_gpt":0.2486457655934873,"score_spread":0.2199049172662388,"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."}}