{"id":"W2030293943","doi":"10.1504/ijamc.2008.018503","title":"IMS-QTI sub-standards in computerised adaptive testing and interfacing","year":2008,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Interfacing; Computer science; Reusability; Multimedia; Computerized adaptive testing; Adaptive learning; Mastery learning; Flash (photography); World Wide Web; Software engineering; Operating system; Software; Computer hardware; Mathematics education","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":[0.0004302007,0.00007584139,0.0001357604,0.0002030248,0.00008846698,0.00007664644,0.0005497684,0.00002656365,0.000002307261],"category_scores_gemma":[0.0004268575,0.00007303659,0.00001962154,0.0001472779,0.00006949035,0.0006732396,0.0003059109,0.0003031803,7.201383e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009792668,"about_ca_system_score_gemma":0.0001254933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001968694,"about_ca_topic_score_gemma":0.00001522693,"domain_scores_codex":[0.9990714,0.0001024896,0.0003357567,0.0001034229,0.0002995819,0.00008736025],"domain_scores_gemma":[0.9984242,0.000462281,0.0002961496,0.0001281386,0.000619856,0.00006936448],"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":[0.0002029763,0.0002169837,0.03835764,0.00001218448,0.00007360372,0.00009128718,0.03506569,0.00279303,0.01263625,0.01377535,0.0001003635,0.8966746],"study_design_scores_gemma":[0.01099317,0.001055696,0.7599705,0.0027373,0.00002784753,0.006268111,0.02091013,0.136518,0.01233634,0.04336379,0.00474634,0.001072812],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711215,0.000749896,0.02505629,0.001401178,0.0003832238,0.0000551145,0.000001053334,0.00001545139,0.001216277],"genre_scores_gemma":[0.9139123,0.001318122,0.08462005,0.00009682,0.00004066832,0.000002011622,0.000001099495,0.00000403907,0.000004924756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8956018,"threshold_uncertainty_score":0.2978346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823200903292007,"score_gpt":0.298241838407466,"score_spread":0.270009829374546,"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."}}