{"id":"W4392607371","doi":"10.2139/ssrn.4744768","title":"Multi-Site Eeg Studies in Early Infancy: Methods to Enhance Data Quality","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Electroencephalography; Quality (philosophy); Computer science; Data mining; Psychology; Neuroscience; Physics","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":[0.01238596,0.001083212,0.0009517205,0.002556832,0.000744623,0.0024126,0.001292846,0.001304179,0.00898889],"category_scores_gemma":[0.04523955,0.0006107338,0.000919135,0.003861762,0.0007257562,0.001900296,0.001645957,0.001458265,0.001629719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292203,"about_ca_system_score_gemma":0.0008801969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066623,"about_ca_topic_score_gemma":0.005342068,"domain_scores_codex":[0.9963013,0.001656671,0.0004376386,0.0005030495,0.0009610569,0.0001401913],"domain_scores_gemma":[0.9686944,0.01776038,0.001684107,0.005619594,0.005706033,0.0005353374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002910215,0.0003221799,0.02470651,0.002561098,0.0008311701,0.0004265232,0.001018583,0.008515449,0.1873065,0.009312478,0.007698649,0.7543907],"study_design_scores_gemma":[0.001539576,0.001667438,0.2786733,0.0006504519,0.002600587,0.004127567,0.001050098,0.269351,0.3103318,0.04690635,0.08246645,0.0006354313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03102328,0.001253648,0.9617671,0.000378641,0.000171909,0.0005215203,0.001514301,0.001502626,0.001866893],"genre_scores_gemma":[0.1152456,0.00111059,0.8773554,0.0001439976,0.0002443405,0.001074601,0.001469984,0.001077389,0.002278074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01238596,"threshold_uncertainty_score":0.06550395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06227893256407044,"score_gpt":0.4869669979812783,"score_spread":0.4246880654172079,"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."}}