{"id":"W10540979","doi":"10.1023/a:1008081501857","title":"Evaluating Learning Objects for Schools","year":2005,"lang":"en","type":"article","venue":"","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Alberta","funders":"","keywords":"Learning object; CLARITY; Quality (philosophy); Object (grammar); Computer science; Digital learning; Open learning; Synchronous learning; Learning sciences; Educational technology; Active learning (machine learning); Artificial intelligence; Mathematics education; Cooperative learning; Psychology; World Wide Web; Teaching method; Epistemology","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":[0.0007211384,0.00006707459,0.00007282936,0.00005642886,0.0002796955,0.0003246584,0.0003530312,0.00002678744,0.0001817625],"category_scores_gemma":[0.0005129338,0.00006213406,0.00003859451,0.0001751627,0.000004947574,0.0006135718,0.00008992646,0.0001754402,0.0005858009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004014818,"about_ca_system_score_gemma":0.0001162604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008557154,"about_ca_topic_score_gemma":0.000004842188,"domain_scores_codex":[0.9991951,0.00006234823,0.000135036,0.0002304554,0.0001580493,0.0002190328],"domain_scores_gemma":[0.9994813,0.0001269469,0.00005716485,0.0001577749,0.0001024583,0.00007439012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005191885,0.00006671168,0.002071831,0.00001522789,0.00001455596,3.062087e-7,0.004483056,0.02962565,0.004217312,0.1244397,0.006417722,0.8286427],"study_design_scores_gemma":[0.0005411082,0.0002040852,0.001390417,0.00002095736,0.000004465949,0.000006815681,0.004018429,0.9040981,0.003777685,0.0007123834,0.08497705,0.0002485334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08449914,0.00009441353,0.5838045,0.01278766,0.0006940686,0.0005481722,1.085107e-7,0.0007855993,0.3167863],"genre_scores_gemma":[0.6663809,0.000001785015,0.3180134,0.0005611297,0.0001546459,0.0000230421,0.000001063409,0.000005184562,0.01485891],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8744724,"threshold_uncertainty_score":0.7529481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06348443897875768,"score_gpt":0.381509251997289,"score_spread":0.3180248130185313,"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."}}