{"id":"W2765818550","doi":"10.1007/s10639-017-9658-2","title":"Exploring computer science students’ continuance intentions to use Kattis","year":2017,"lang":"en","type":"article","venue":"Education and Information Technologies","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Continuance; Educational technology; Science education; Mathematics education; Computer-mediated communication; Computer-Assisted Instruction; Psychology; Computer science; Pedagogy; The Internet; Social psychology; World Wide Web","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":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001354239,0.0001139329,0.0001436786,0.001256974,0.001319838,0.003315384,0.001843397,0.00007995738,0.00002101276],"category_scores_gemma":[0.007579409,0.0000939337,0.00003191449,0.0006104344,0.000682377,0.01529478,0.0009448844,0.0001711688,0.000352153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006411993,"about_ca_system_score_gemma":0.0001237074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003128566,"about_ca_topic_score_gemma":0.00001182549,"domain_scores_codex":[0.9982292,0.00001581141,0.0004663329,0.0002639032,0.0008175282,0.0002072277],"domain_scores_gemma":[0.9974647,0.000083065,0.0003663288,0.001155629,0.000857911,0.00007240488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000004675626,0.0000455224,0.1968915,0.000001710394,0.000002330435,9.104775e-8,0.0009811805,0.000002323989,0.0001170698,0.02515371,0.0030669,0.773733],"study_design_scores_gemma":[0.000129736,0.00003687596,0.8988039,0.0000268352,0.000002750441,0.000004845704,0.006441809,0.00007147196,0.001724498,0.001414048,0.09121986,0.0001232946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719568,0.00001038538,0.0141692,0.01088272,0.001495434,0.0002596766,0.000006522995,0.0005680035,0.0006511939],"genre_scores_gemma":[0.9853601,0.00009219544,0.0135138,0.0005506069,0.00001684867,0.0001162585,0.000001921569,0.000002967247,0.0003453064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7736097,"threshold_uncertainty_score":0.9999803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2613041296294019,"score_gpt":0.4288553315998963,"score_spread":0.1675512019704944,"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."}}