{"id":"W7132948642","doi":"","title":"Analysis of electrical activities in hippocampal slices using coherence measures","year":2005,"lang":"","type":"dissertation","venue":"TSpace","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Coherence (philosophical gambling strategy); Hippocampal formation; SIGNAL (programming language); Signal processing; Wavelet; Pattern recognition (psychology); Wavelet transform","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":[0.0002830067,0.0002330987,0.000183629,0.0008645522,0.0001219484,0.000414004,0.0001498014,0.0001947008,0.0009354508],"category_scores_gemma":[0.0008898315,0.00009647473,0.0002057053,0.0007434272,0.0002366522,0.0004783673,0.0002697452,0.0003127837,0.0001948438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146687,"about_ca_system_score_gemma":0.00022012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005314742,"about_ca_topic_score_gemma":0.0008663413,"domain_scores_codex":[0.99986,0.00002351926,0.00001164572,0.00003684676,0.00005446278,0.00001346273],"domain_scores_gemma":[0.9997283,0.00009699773,0.00005792585,0.00002788212,0.0000726447,0.00001618818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001535413,0.00004727527,0.003901985,0.0002040138,0.00008374728,0.0001538085,0.0003184253,0.00451192,0.8148097,0.004180378,0.0005061917,0.171129],"study_design_scores_gemma":[0.00006942776,0.001668109,0.2102776,0.0001441634,0.0002500066,0.001380135,0.001239388,0.1390003,0.6170277,0.01593152,0.01286133,0.0001502753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4977151,0.002065921,0.4950987,0.0001586242,0.00004999833,0.0001212943,0.0005321738,0.0004891839,0.003769031],"genre_scores_gemma":[0.8060372,0.00209996,0.1897253,0.00003543434,0.00003545807,0.0001135276,0.000619883,0.00007629514,0.001256928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009354508,"threshold_uncertainty_score":0.003129423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04618058818482126,"score_gpt":0.3766886972671009,"score_spread":0.3305081090822797,"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."}}