{"id":"W2788992445","doi":"10.5539/ibr.v11n4p32","title":"Social Presence Antecedents and Consequences in Massive Open Online Courses","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Online participation; Online community; Variance (accounting); Perception; Online learning; Psychology; The Internet; Massive open online course; Website design; World Wide Web; Sense of community; Computer science; Mathematics education; Social psychology; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006427137,0.00007218437,0.0001078242,0.000316324,0.0001913644,0.0006804505,0.001955202,0.00004534079,0.0000380188],"category_scores_gemma":[0.0008055402,0.00006447794,0.00001120059,0.0007959472,0.0006284265,0.0006265304,0.001443142,0.0002441694,0.00003649365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005357469,"about_ca_system_score_gemma":0.00025423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008807611,"about_ca_topic_score_gemma":0.0003882135,"domain_scores_codex":[0.9984457,0.0001342063,0.0001623267,0.0003329861,0.0006772866,0.0002474678],"domain_scores_gemma":[0.9982271,0.0002164028,0.00005059026,0.0001451901,0.001314724,0.00004595714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003750421,0.002011061,0.5823467,0.0001058827,0.0001982652,0.001061449,0.005996471,0.0003863706,0.01084329,0.2529609,0.02213655,0.1215781],"study_design_scores_gemma":[0.001330269,0.0001554919,0.8054386,0.0003479387,0.000002566002,0.00005511378,0.0006544177,0.1129194,0.0007439851,0.06205175,0.01596599,0.0003343751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8247868,0.00006939604,0.004031797,0.1644812,0.0005089025,0.0002462675,0.00002561273,0.00004760656,0.005802375],"genre_scores_gemma":[0.9949442,0.00006327527,0.002850268,0.0001116701,0.000329263,0.000007930316,0.000009153545,0.000004919625,0.001679392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.223092,"threshold_uncertainty_score":0.65616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1329802667188287,"score_gpt":0.488037648938682,"score_spread":0.3550573822198533,"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."}}