{"id":"W2005462082","doi":"10.1007/s11409-009-9041-9","title":"Epistemic profiles and metacognition: support for the consistency hypothesis","year":2009,"lang":"en","type":"article","venue":"Metacognition and Learning","topic":"Educational Strategies and Epistemologies","field":"Psychology","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Metacognition; Empirical research; Psychology; Session (web analytics); Context (archaeology); Think aloud protocol; Cognition; Mathematics education; Protocol analysis; Cognitive psychology; Empirical evidence; Rationality; Consistency (knowledge bases); Social psychology; Epistemology; Cognitive science; Computer science; Artificial intelligence","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":[0.01789925,0.0005994978,0.001368664,0.002846809,0.001243484,0.006554452,0.003060337,0.003255442,0.01232748],"category_scores_gemma":[0.2066795,0.0009514313,0.001179282,0.003001905,0.006165248,0.0142235,0.007084672,0.003562103,0.0009263244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008560074,"about_ca_system_score_gemma":0.001811122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156361,"about_ca_topic_score_gemma":0.0004279762,"domain_scores_codex":[0.9890338,0.00436781,0.001030953,0.002568385,0.00234293,0.0006560487],"domain_scores_gemma":[0.5803246,0.3129163,0.0347929,0.05401395,0.01371792,0.004234416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.009529954,0.002562406,0.3975403,0.001300133,0.00189045,0.0007726307,0.01368046,0.005302845,0.004868559,0.43195,0.002303722,0.1282985],"study_design_scores_gemma":[0.001177956,0.0005541828,0.1530313,0.0002569099,0.0006085568,0.00120559,0.003269284,0.01186388,0.002551206,0.8227844,0.002573535,0.000123231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8599593,0.001036514,0.07893563,0.00702883,0.0001369703,0.0002465487,0.0006994096,0.0001348561,0.05182189],"genre_scores_gemma":[0.994559,0.0001337812,0.004263599,0.0001742824,0.0000838296,0.00008967138,0.0002424177,0.00003273464,0.0004206561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01789925,"threshold_uncertainty_score":0.09466147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07536978327440856,"score_gpt":0.3312625127068852,"score_spread":0.2558927294324766,"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."}}