{"id":"W2123024792","doi":"10.1111/j.1365-2869.2009.00802.x","title":"Validating an automated sleep spindle detection algorithm using an individualized approach","year":2010,"lang":"en","type":"article","venue":"Journal of Sleep Research","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Trent University","funders":"Canadian Institutes of Health Research","keywords":"Sleep (system call); Computer science; Algorithm; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009458728,0.0002514385,0.0004299172,0.001691008,0.001174711,0.0008575006,0.001496905,0.0003213996,0.0002023793],"category_scores_gemma":[0.003294138,0.0002124332,0.0001518234,0.002188457,0.0004857875,0.002145486,0.0003111647,0.003539515,0.00003292337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001873231,"about_ca_system_score_gemma":0.0002917502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001756447,"about_ca_topic_score_gemma":0.00002162896,"domain_scores_codex":[0.9915394,0.002275477,0.0008253267,0.0006102119,0.003585786,0.001163777],"domain_scores_gemma":[0.996357,0.0005727624,0.0003928361,0.0006659642,0.001210216,0.0008012464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001250249,0.0008031172,0.0003712455,0.00002174606,0.00002417942,0.0001307456,0.0006795067,0.000585596,0.7784876,0.00006946666,0.00001401217,0.2186878],"study_design_scores_gemma":[0.001196972,0.0007174239,0.001044848,0.00001877219,0.00001581977,0.0007964712,0.0006747053,0.496649,0.4981026,0.0003918344,0.0001976879,0.0001939305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824994,0.00002103461,0.01529282,0.00005848057,0.0006523168,0.0004020466,0.00001228693,0.0001365701,0.0009250038],"genre_scores_gemma":[0.9735516,0.000009869833,0.02524148,0.00003587504,0.001040784,0.00001585448,0.00000391177,0.00007212488,0.00002848019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4960634,"threshold_uncertainty_score":0.9987594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1919340854030225,"score_gpt":0.4478418040503773,"score_spread":0.2559077186473547,"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."}}