{"id":"W2046189901","doi":"10.1016/s1388-2457(01)00519-3","title":"Statistical detection of between-group differences in event-related potentials","year":2001,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Council","keywords":"Statistics; Statistical power; Waveform; Noise (video); Pattern recognition (psychology); Mathematics; Projection (relational algebra); Statistical hypothesis testing; A priori and a posteriori; Event (particle physics); SIGNAL (programming language); False alarm; Amplitude; Centroid; Computer science; Artificial intelligence; Algorithm","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":[0.007058142,0.0005487396,0.0007113466,0.0009360157,0.0005942148,0.0007601057,0.0006572611,0.0007598885,0.006122586],"category_scores_gemma":[0.03587859,0.0002182841,0.0005017639,0.0006960973,0.001405273,0.001202237,0.0008118829,0.001163448,0.0004034502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002212815,"about_ca_system_score_gemma":0.0005468404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004054603,"about_ca_topic_score_gemma":0.0006658905,"domain_scores_codex":[0.9957259,0.001556492,0.0004960041,0.001046759,0.0008378141,0.0003371016],"domain_scores_gemma":[0.9656421,0.02898556,0.001257521,0.002183018,0.001305128,0.0006266915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03747473,0.00229003,0.343196,0.001349971,0.003594412,0.002682013,0.004453204,0.003296936,0.4120688,0.01018528,0.004139159,0.1752695],"study_design_scores_gemma":[0.0004964385,0.005064423,0.9584251,0.00003229221,0.000628995,0.002070746,0.0006602706,0.007219374,0.01649059,0.00670762,0.002159389,0.0000447789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9711159,0.0002563145,0.02374288,0.0001924796,0.0001799812,0.0002482228,0.0005721679,0.0001145655,0.00357737],"genre_scores_gemma":[0.9954466,0.00003490795,0.0033647,0.00006860747,0.00006036237,0.0002434446,0.0003441593,0.00005977496,0.0003773845],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007058142,"threshold_uncertainty_score":0.03732747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08950093190821584,"score_gpt":0.3531843472824425,"score_spread":0.2636834153742267,"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."}}