{"id":"W3001051400","doi":"10.7554/elife.51439.sa2","title":"Author response: Catecholaminergic modulation of meta-learning","year":2019,"lang":"en","type":"peer-review","venue":"","topic":"Mental Health Research Topics","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Catecholaminergic; Methylphenidate; Meta-analysis; Psychology; Cognitive psychology; Artificial intelligence; Machine learning; Catecholamine; Neuroscience; Computer science; Medicine; Internal medicine; Attention deficit hyperactivity disorder; Clinical psychology","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":[0.00472904,0.0009640263,0.001171241,0.0008884476,0.001494194,0.002172979,0.001716986,0.00712444,0.2560014],"category_scores_gemma":[0.05056469,0.0004955211,0.001162738,0.0009208841,0.001016119,0.002021084,0.002130312,0.0040744,0.0993221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024347,"about_ca_system_score_gemma":0.003087432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001795412,"about_ca_topic_score_gemma":0.002833479,"domain_scores_codex":[0.9965579,0.001079571,0.0003838836,0.0004694964,0.00125547,0.0002537033],"domain_scores_gemma":[0.9727371,0.01257916,0.001148399,0.001649692,0.01049171,0.00139398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001716279,0.00001469931,0.0001880186,0.0001779636,0.000007849523,0.00004720695,0.00004276375,0.00003768393,0.0001108063,0.0007673582,0.9900578,0.008376243],"study_design_scores_gemma":[0.0001803059,0.0001107571,0.001221335,0.0005725711,0.00002272563,0.0001430893,0.0003342767,0.000198921,0.0007870259,0.004650917,0.9917293,0.00004869598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003087867,0.003377457,0.00720922,0.5717155,0.2968047,0.001398595,0.02021859,0.002890102,0.09329785],"genre_scores_gemma":[0.02893017,0.005643311,0.01006893,0.5063574,0.05326072,0.003824242,0.0111177,0.001650411,0.3791471],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2560014,"threshold_uncertainty_score":0.8564101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3113394548556419,"score_gpt":0.5301720072525721,"score_spread":0.2188325523969302,"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."}}