{"id":"W2942615504","doi":"10.5539/cis.v12n2p103","title":"Unsupervised Characterization and Visualization of Students’ Academic Performance Features","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silhouette; Computer science; Class (philosophy); Cluster analysis; Metric (unit); k-means clustering; Cluster (spacecraft); Feature (linguistics); Mathematics education; Artificial intelligence; Pattern recognition (psychology); Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005502617,0.0004401898,0.0003313608,0.003458316,0.0002105236,0.001013322,0.0004752468,0.0003578803,0.002340846],"category_scores_gemma":[0.002031504,0.00009941024,0.0004068557,0.00260942,0.000173179,0.0004993758,0.0007667113,0.0004722499,0.001266708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003486086,"about_ca_system_score_gemma":0.000560784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005872285,"about_ca_topic_score_gemma":0.01076279,"domain_scores_codex":[0.9996374,0.00004384058,0.00002924975,0.0000986447,0.0001152373,0.00007566411],"domain_scores_gemma":[0.9988422,0.0003145192,0.0001808793,0.0001275746,0.0004122617,0.0001226808],"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":[0.0009784129,0.0004734115,0.2655001,0.0007021193,0.0002025274,0.0005416525,0.00290442,0.01653581,0.03251851,0.003356435,0.06042141,0.6158652],"study_design_scores_gemma":[0.00004766132,0.0004087233,0.6471613,0.0002011157,0.00008554838,0.000737851,0.004227453,0.2325016,0.03426092,0.005182393,0.07504067,0.0001447644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8499397,0.000984678,0.06747651,0.0009017999,0.0002031661,0.0001813732,0.05696477,0.008287778,0.0150603],"genre_scores_gemma":[0.9239497,0.0003622082,0.04008827,0.00005106116,0.00005569868,0.000180836,0.02996874,0.0001995364,0.005143895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005872285,"threshold_uncertainty_score":0.01167619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007415503979852132,"score_gpt":0.272789192338405,"score_spread":0.2653736883585529,"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."}}