{"id":"W3083588286","doi":"10.1145/3411170.3411232","title":"Features Exploration for Grades Prediction using Machine Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Key (lock); Plan (archaeology); Machine learning; Selection (genetic algorithm); Artificial intelligence; Data science; Data mining; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009775185,0.00165576,0.0009384576,0.005300422,0.0007154595,0.001247695,0.001160779,0.0007806479,0.002031868],"category_scores_gemma":[0.004563002,0.0002800932,0.001001877,0.002999611,0.0002627639,0.0007547534,0.00069235,0.00140597,0.001633437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457547,"about_ca_system_score_gemma":0.001809762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1180408,"about_ca_topic_score_gemma":0.1382617,"domain_scores_codex":[0.9991985,0.0001611062,0.00006822529,0.0001770394,0.0002243497,0.0001708112],"domain_scores_gemma":[0.9974551,0.001032823,0.0001787014,0.0002263805,0.0009349419,0.000172059],"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":[0.0006256398,0.001136306,0.1182622,0.0002285963,0.0003009588,0.0003753499,0.0001507565,0.07355101,0.005969766,0.0006402374,0.03379525,0.7649639],"study_design_scores_gemma":[0.00007215986,0.0002600195,0.04703045,0.00008054254,0.0001019663,0.000115336,0.0001968468,0.9337416,0.008438049,0.002630053,0.007268415,0.00006452288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6903934,0.004923781,0.2489373,0.001570335,0.0004342123,0.0005490544,0.02569074,0.02058245,0.006918652],"genre_scores_gemma":[0.9036087,0.0003639116,0.06763083,0.0001460707,0.00007253909,0.0001920245,0.0242763,0.0001503036,0.003559373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1180408,"threshold_uncertainty_score":0.2347074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06428963824488679,"score_gpt":0.2909155143726314,"score_spread":0.2266258761277446,"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."}}