{"id":"W4400892659","doi":"10.1108/jsit-08-2023-0156","title":"An empirical investigation of student online learning continuance intention in the post-COVID-19 pandemic era","year":2024,"lang":"en","type":"article","venue":"Journal of Systems and Information Technology","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Continuance; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Empirical research; Online learning; Psychology; Computer science; Social psychology; World Wide Web; Virology; Medicine; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001355448,0.00005157403,0.0001205227,0.000747717,0.00005258584,0.0001593939,0.0003100399,0.00007960828,0.000002867289],"category_scores_gemma":[0.0002372079,0.00003491329,0.00003740417,0.0005129463,0.00005317269,0.001711358,0.00002713818,0.0004216475,0.000002399761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006157472,"about_ca_system_score_gemma":0.0001198272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002927369,"about_ca_topic_score_gemma":0.000008359085,"domain_scores_codex":[0.998889,0.0001510905,0.0006672342,0.00005551044,0.0001701459,0.0000670115],"domain_scores_gemma":[0.9991139,0.00007991045,0.0004255596,0.0001041097,0.000240066,0.00003643298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001021191,0.00009859058,0.8404454,0.0003643586,0.00003981723,0.000005129241,0.04429561,0.002019096,0.0008970979,0.07949847,0.000689305,0.03163691],"study_design_scores_gemma":[0.0008249812,0.001800967,0.7733852,0.0009429996,0.00002261533,0.00168852,0.07473535,0.08640791,0.00004423188,0.002071372,0.05790183,0.0001740305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035686,0.0005791938,0.08751041,0.007826701,0.0003489792,0.0000938072,8.472247e-7,0.00004717035,0.00002433934],"genre_scores_gemma":[0.9987344,0.00009045237,0.0007851531,0.0003365623,0.00002525316,0.000004872424,0.000004783614,0.000001498383,0.00001698812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09516589,"threshold_uncertainty_score":0.1831872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673394817724721,"score_gpt":0.3635579233014747,"score_spread":0.3268239751242275,"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."}}