{"id":"W2117520030","doi":"10.3389/fpsyg.2010.00241","title":"Stimulus Complexity and Categorical Effects in Human Auditory Cortex: An Activation Likelihood Estimation Meta-Analysis","year":2011,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Categorical variable; Stimulus (psychology); Auditory cortex; Cognitive psychology; Meta-analysis; Neuroscience; Audiology; Machine learning; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0348868,0.002269601,0.006257765,0.003209209,0.0007181821,0.00277134,0.002740766,0.002083194,0.00359167],"category_scores_gemma":[0.05616216,0.001177031,0.03001184,0.003954974,0.001063906,0.001903739,0.001626328,0.002215842,0.0003249525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009043058,"about_ca_system_score_gemma":0.0007618041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002907551,"about_ca_topic_score_gemma":0.004051403,"domain_scores_codex":[0.9655676,0.02632579,0.002020884,0.004283364,0.001409015,0.0003933868],"domain_scores_gemma":[0.9200466,0.07113665,0.002996041,0.004215306,0.001217299,0.0003879674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.007280872,0.00006373712,0.05163595,0.01061746,0.9114411,0.0003746841,0.0002302951,0.003404009,0.002004638,0.0006477653,0.0008084582,0.011491],"study_design_scores_gemma":[0.002099454,0.0009262165,0.05582767,0.0009046875,0.9232364,0.0004230975,0.0001748636,0.009729762,0.001173057,0.003914604,0.001501226,0.0000890442],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4661531,0.368154,0.1504415,0.002953894,0.0007364731,0.00110948,0.006522106,0.001256217,0.002673161],"genre_scores_gemma":[0.9739841,0.008485667,0.01509372,0.000308974,0.00008400006,0.0007211359,0.0008570588,0.0001317288,0.0003336802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0348868,"threshold_uncertainty_score":0.1845012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1333348286537066,"score_gpt":0.365155123149213,"score_spread":0.2318202944955064,"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."}}