{"id":"W2054763711","doi":"10.1007/s10648-006-9014-3","title":"Learning from Learning Kits: gStudy Traces of Students’ Self-Regulated Engagements with Computerized Content","year":2006,"lang":"en","type":"article","venue":"Educational Psychology Review","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":211,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"TRACE (psycholinguistics); Educational psychology; Computer science; Raw data; Self-regulated learning; Process (computing); Psychology; CLIPS; Multimedia; Perception; World Wide Web; Mathematics education; Artificial intelligence; Linguistics","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":[0.0006801867,0.0001821044,0.0001786165,0.001135601,0.0004507379,0.001557702,0.0005405523,0.0006543111,0.002526728],"category_scores_gemma":[0.007557753,0.0001531569,0.0001517409,0.0006812799,0.0009181319,0.001128879,0.001205634,0.0007681967,0.0007939311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003056221,"about_ca_system_score_gemma":0.0003142965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006058611,"about_ca_topic_score_gemma":0.001099218,"domain_scores_codex":[0.999378,0.0001643452,0.00003095382,0.00007777656,0.0002955571,0.00005337573],"domain_scores_gemma":[0.9947686,0.003382537,0.0006336981,0.0004354604,0.0005687716,0.0002109293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008820565,0.0009038828,0.1534939,0.0009634959,0.0001489491,0.001197075,0.05050969,0.0009266054,0.06012861,0.01045842,0.005835946,0.7145514],"study_design_scores_gemma":[0.00004082097,0.001546876,0.8416455,0.0004632463,0.0001222694,0.002699085,0.03221543,0.004940866,0.05223979,0.01451157,0.04945648,0.000118225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641615,0.001135345,0.01055831,0.0006546122,0.00004630881,0.00006687135,0.0002857582,0.0002280748,0.02286313],"genre_scores_gemma":[0.9930794,0.0005613844,0.002340799,0.0001244287,0.00001778585,0.00004947819,0.0001663458,0.00004709702,0.003613283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002526728,"threshold_uncertainty_score":0.008452773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043368474939808,"score_gpt":0.4446688560571352,"score_spread":0.3403320085631544,"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."}}