{"id":"W4391445032","doi":"10.1007/s11409-024-09373-2","title":"Examining adaptations in study time allocation and restudy selection as a function of expected test format","year":2024,"lang":"en","type":"article","venue":"Metacognition and Learning","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Test (biology); Function (biology); Selection (genetic algorithm); Metacognition; Cognitive psychology; Developmental psychology; Applied psychology; Social psychology; Cognition; Computer science; Ecology; Biology; Artificial intelligence; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003507116,0.0003583919,0.0004468507,0.0005551639,0.0001986203,0.00102878,0.0007561924,0.0005426927,0.003369835],"category_scores_gemma":[0.03656859,0.000302215,0.0003264902,0.0005447343,0.0004074898,0.0007761517,0.0007224752,0.001039176,0.0004405435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038087,"about_ca_system_score_gemma":0.0004275367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491817,"about_ca_topic_score_gemma":0.00161895,"domain_scores_codex":[0.9982436,0.0006660863,0.0001358582,0.0004490474,0.0003457994,0.0001595642],"domain_scores_gemma":[0.9542068,0.03441693,0.005550535,0.002835534,0.001362211,0.001627917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05037675,0.01155399,0.6535171,0.0003055218,0.0006023673,0.0003593346,0.004252147,0.004952097,0.1622904,0.0004687662,0.0008288304,0.1104928],"study_design_scores_gemma":[0.0001378036,0.004192635,0.9877687,0.000007684518,0.00006730467,0.0000659406,0.0002319107,0.002089051,0.004998588,0.000137717,0.0002855481,0.00001724656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988091,0.00004207747,0.0005364792,0.00002032971,0.000007445782,0.00002929235,0.00005668935,0.0000182304,0.0004802675],"genre_scores_gemma":[0.9978478,0.00002327994,0.0006213727,0.00003414722,0.000007447532,0.00008775759,0.0001131872,0.00002590446,0.001239117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003507116,"threshold_uncertainty_score":0.01854765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310090857040449,"score_gpt":0.2618780166180574,"score_spread":0.2308689309140125,"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."}}