{"id":"W4388451761","doi":"10.1016/j.cortex.2023.11.002","title":"The future of metacognition research: Balancing construct breadth with measurement rigor","year":2023,"lang":"en","type":"review","venue":"Cortex","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; Leverhulme Trust; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Metacognition; Construct (python library); Psychology; Scope (computer science); Cognitive psychology; Cognition; Rigour; Epistemology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01684404,0.001117816,0.00322212,0.006205284,0.0005254957,0.003733594,0.002998695,0.00302885,0.001627214],"category_scores_gemma":[0.02240489,0.0005754132,0.001088337,0.005020926,0.006370334,0.007120269,0.00225146,0.005646016,0.0008808035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004046966,"about_ca_system_score_gemma":0.008885408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004774336,"about_ca_topic_score_gemma":0.006540114,"domain_scores_codex":[0.9970061,0.001305679,0.0003291662,0.0003772177,0.0008473403,0.000134459],"domain_scores_gemma":[0.9704174,0.02434057,0.001004071,0.0007638049,0.002824654,0.000649523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008618159,0.00003891212,0.0004606393,0.02082202,0.0001997265,0.0000810488,0.0003404692,0.0003954554,0.0004154598,0.0380543,0.009803871,0.9293019],"study_design_scores_gemma":[0.00005439591,0.0002141826,0.004164457,0.04443212,0.0003885123,0.0007085177,0.0006428366,0.0004109719,0.0004771183,0.08562067,0.8627892,0.00009693218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007240436,0.9973003,0.0004219652,0.001530596,0.000155545,0.000004618044,0.000006974914,0.000005309844,0.0005022812],"genre_scores_gemma":[0.00182451,0.9948288,0.001556172,0.001040579,0.0004325276,0.00003952983,0.00001858268,0.000006054648,0.0002534274],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01684404,"threshold_uncertainty_score":0.08908081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3316573439405667,"score_gpt":0.4122996816476904,"score_spread":0.08064233770712376,"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."}}