{"id":"W2469737036","doi":"10.1145/2899415.2899428","title":"Can Interaction Patterns with Supplemental Study Tools Predict Outcomes in CS1?","year":2016,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Identification (biology); Mathematics education; Compiler; Medical education; Psychology; Programming language; Medicine","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":[0.0002728347,0.00009420226,0.000105741,0.00009286211,0.00005377121,0.0001636567,0.0003093935,0.00001463303,0.00005681067],"category_scores_gemma":[0.0000242844,0.00005013306,0.00001994238,0.0000848163,0.000008664653,0.000456658,0.000116363,0.0001164139,0.00001138508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007167483,"about_ca_system_score_gemma":0.00001797555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675471,"about_ca_topic_score_gemma":0.004547968,"domain_scores_codex":[0.9990844,0.0001064187,0.0001461018,0.0002667194,0.0001911622,0.0002052315],"domain_scores_gemma":[0.9995269,0.0001130887,0.00004492323,0.0002608664,0.00001141418,0.00004285727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003695818,0.0001405674,0.7884426,0.000001033988,0.00001087901,0.00001134629,0.002048043,0.000005092715,0.00001113761,0.0001596486,0.00002342075,0.2091426],"study_design_scores_gemma":[0.001371221,0.000815527,0.992152,0.00004442769,0.00000385564,0.00001092099,0.002370276,0.0002089112,0.00009950205,0.000008599752,0.002757206,0.0001575308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8686957,5.9812e-7,0.1285008,0.002180345,0.0001377127,0.0001976094,0.000002395375,0.0001918701,0.00009295398],"genre_scores_gemma":[0.9944082,2.227929e-7,0.004868598,0.00006386955,0.0000167767,0.00002939833,0.00000168185,0.000005963673,0.0006053013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.208985,"threshold_uncertainty_score":0.2537873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376057902652565,"score_gpt":0.2876068277554548,"score_spread":0.2638462487289291,"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."}}