{"id":"W4200522671","doi":"10.1007/s11409-021-09273-9","title":"Constraints on the use of the memorizing effort heuristic","year":2021,"lang":"en","type":"article","venue":"Metacognition and Learning","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Memorization; Psychology; Cognitive psychology; Heuristic; Metamemory; Cognition; Context (archaeology); Experimental psychology; Context effect; Social psychology; Metacognition; Computer science; Artificial intelligence; Word (group theory)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000473891,0.0000799966,0.0001096281,0.00002899739,0.0004030644,0.0001634256,0.0001307964,0.00002636719,0.00006317243],"category_scores_gemma":[0.0008006606,0.00004668332,0.00006863651,0.0001889977,0.00006627451,0.0001182706,0.00009927485,0.0003601809,0.00001503372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008356506,"about_ca_system_score_gemma":0.00002852317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008140839,"about_ca_topic_score_gemma":9.580569e-7,"domain_scores_codex":[0.9989217,0.0004053352,0.0001608279,0.0001807038,0.0002069744,0.0001244551],"domain_scores_gemma":[0.9990317,0.0005297959,0.0001181131,0.0001705352,0.0001244834,0.00002542632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001080836,0.00008393724,0.007115775,0.00009457556,0.0001780916,0.00005808728,0.004632367,0.006082415,0.01731094,0.7694923,0.0002611298,0.1946795],"study_design_scores_gemma":[0.001133221,0.0003607138,0.08564077,0.002408588,0.0001821984,0.0004239296,0.004894215,0.08102761,0.1240693,0.0020198,0.6968499,0.0009897518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.585779,0.0002687596,0.4014196,0.00200243,0.001392643,0.0002903326,0.00000219269,0.0001275718,0.008717412],"genre_scores_gemma":[0.99391,0.000009868659,0.00136771,0.0004285623,0.00004829677,0.000004026673,8.626171e-7,0.000005313559,0.004225399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7674725,"threshold_uncertainty_score":0.3100086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07855467245522964,"score_gpt":0.2472317279117424,"score_spread":0.1686770554565128,"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."}}