{"id":"W6976543686","doi":"10.60692/0ap4t-agw48","title":"Reuse of e-learning personalization components","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Personalization; Reuse; Interoperability; Component (thermodynamics); Adaptation (eye); Set (abstract data type); Interface (matter); Software","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":[0.0014959,0.0005504613,0.0004357496,0.001438675,0.0005034598,0.001816414,0.001276829,0.0006644302,0.002828097],"category_scores_gemma":[0.004516875,0.0005359412,0.0007585601,0.001400412,0.0004990054,0.001994209,0.002199424,0.0004873251,0.0008851363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006906863,"about_ca_system_score_gemma":0.001082081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003889443,"about_ca_topic_score_gemma":0.001880952,"domain_scores_codex":[0.9985011,0.0004545953,0.0001717485,0.0002881668,0.0004149773,0.000169512],"domain_scores_gemma":[0.996702,0.0006872286,0.0002073355,0.001677807,0.0005943294,0.0001312638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005923738,0.0008266111,0.02146057,0.0005554241,0.0002075744,0.0008669183,0.002877044,0.03521407,0.09685085,0.02175945,0.002443289,0.8163459],"study_design_scores_gemma":[0.0002181715,0.0009800326,0.04922175,0.0004467896,0.001204944,0.003401462,0.001454302,0.4230835,0.3525222,0.02725162,0.1400071,0.0002080253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.308199,0.0003912169,0.6684973,0.0001980178,0.00002770166,0.0005021715,0.000089204,0.006702048,0.01539325],"genre_scores_gemma":[0.7838762,0.0002337607,0.206689,0.00004322766,0.00001316677,0.0001730137,0.0003164267,0.0004267528,0.008228348],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003889443,"threshold_uncertainty_score":0.009460926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03488234242068433,"score_gpt":0.2217656188010527,"score_spread":0.1868832763803683,"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."}}