{"id":"W2031010434","doi":"10.3758/s13421-014-0488-9","title":"Metacognition and abstract reasoning","year":2014,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Université du Québec à Montréal","funders":"","keywords":"Metacognition; Psychology; Inference; Task (project management); Normative; Cognitive psychology; Representation (politics); Logical reasoning; Cognition; Social psychology; Artificial intelligence; Epistemology; Mathematics education; Computer science","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":[0.002210438,0.000548108,0.0006361958,0.001050982,0.0003677878,0.004865711,0.001279795,0.001289863,0.006827087],"category_scores_gemma":[0.01593178,0.0005233238,0.0007636135,0.0009845285,0.002766842,0.007109975,0.001356149,0.001990006,0.0005510345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101715,"about_ca_system_score_gemma":0.000979298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683758,"about_ca_topic_score_gemma":0.001433447,"domain_scores_codex":[0.9987356,0.0005059149,0.00009474196,0.0002730551,0.0002634351,0.0001271985],"domain_scores_gemma":[0.9834676,0.01079511,0.001848103,0.002558221,0.0008527244,0.0004782312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001199945,0.0009151094,0.025499,0.0006416296,0.0007776672,0.0004365458,0.00169116,0.03199867,0.006780234,0.6785306,0.001996254,0.2495331],"study_design_scores_gemma":[0.00005872224,0.00004876716,0.007754444,0.00003089935,0.00006012729,0.00008921213,0.0000942418,0.01405053,0.001184667,0.9754331,0.001172345,0.0000231053],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7922558,0.00381197,0.1489838,0.004474418,0.0001974264,0.00007884696,0.0003929121,0.0001940241,0.0496108],"genre_scores_gemma":[0.9800476,0.0008646749,0.01507366,0.0001729706,0.00009573373,0.00004089071,0.0002347243,0.00002478392,0.003444988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006827087,"threshold_uncertainty_score":0.02283889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163325799167314,"score_gpt":0.3807593215937227,"score_spread":0.2644267416769913,"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."}}