{"id":"W2045335684","doi":"10.1145/2330601.2330641","title":"Student success system","year":2012,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"D2L (Canada)","funders":"","keywords":"Computer science; Predictive analytics; Context (archaeology); Generalization; Bridge (graph theory); Decomposition; Data science; Machine learning; Software engineering; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002434026,0.0009417699,0.0008474854,0.002213107,0.0008948091,0.004314995,0.002382696,0.001089611,0.0325251],"category_scores_gemma":[0.009310123,0.0005245333,0.000928442,0.001301332,0.0004447533,0.004284594,0.003985257,0.00130071,0.02497214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009252985,"about_ca_system_score_gemma":0.001396273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003479791,"about_ca_topic_score_gemma":0.002302608,"domain_scores_codex":[0.9977181,0.0004295965,0.0002679577,0.0007532596,0.0006505672,0.0001805194],"domain_scores_gemma":[0.9963419,0.0008253203,0.0003211388,0.0009498138,0.001093923,0.0004679476],"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":[0.001693751,0.001079451,0.04390433,0.0009764135,0.0002467728,0.000845879,0.001991317,0.01628014,0.008824321,0.07602505,0.2560549,0.5920777],"study_design_scores_gemma":[0.0003090721,0.0008057883,0.01244102,0.0002036361,0.0001627651,0.0006718825,0.0006389002,0.224795,0.01708461,0.03369736,0.7089034,0.0002865866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.06140764,0.0004906832,0.5407086,0.003672047,0.0007248177,0.002739785,0.02147777,0.2845995,0.08417925],"genre_scores_gemma":[0.5149547,0.0008450088,0.2857646,0.002133887,0.0005388788,0.002927451,0.0599207,0.008035764,0.1248791],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9674749,"threshold_uncertainty_score":0.1088073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242096823588612,"score_gpt":0.296308033779325,"score_spread":0.2838870655434389,"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."}}