{"id":"W3000784194","doi":"10.1007/s11257-019-09253-4","title":"Visualising alignment to support students’ judgment of confidence in open learner models","year":2020,"lang":"en","type":"article","venue":"User Modeling and User-Adapted Interaction","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Birmingham","keywords":"Metacognition; Correctness; Computer science; Component (thermodynamics); Software; Mathematics education; Psychology; Cognition","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":[0.001760339,0.0005479157,0.0003426037,0.0009200019,0.0001656109,0.002059428,0.0006995075,0.0008581202,0.005384355],"category_scores_gemma":[0.01827591,0.0002251021,0.0002208478,0.0003939925,0.0002853095,0.001729731,0.001869207,0.0007958152,0.0006629874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003165573,"about_ca_system_score_gemma":0.0002856004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006900918,"about_ca_topic_score_gemma":0.0006182365,"domain_scores_codex":[0.9991295,0.0003908211,0.00006353784,0.000106388,0.0002495841,0.00006032877],"domain_scores_gemma":[0.9901099,0.007115901,0.000896196,0.0006619835,0.0007195419,0.0004965116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005109486,0.001667036,0.06108719,0.001269957,0.0001193774,0.001005609,0.02387781,0.03157098,0.2385923,0.005778607,0.006145836,0.6237758],"study_design_scores_gemma":[0.0003824432,0.004162421,0.1434804,0.000669862,0.0002388555,0.0008419052,0.005503709,0.6664604,0.1386328,0.01317789,0.02605489,0.000394455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8050277,0.0002195346,0.1791866,0.0004860591,0.00007410796,0.0002378319,0.0002993095,0.007970489,0.006498381],"genre_scores_gemma":[0.9517093,0.00005513178,0.04688442,0.00004355032,0.000009071944,0.00008493714,0.0001740756,0.0002059697,0.000833406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005384355,"threshold_uncertainty_score":0.01801246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221812011636755,"score_gpt":0.3544751163892609,"score_spread":0.2322939152255855,"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."}}