{"id":"W2613027232","doi":"10.19173/irrodl.v18i3.2676","title":"Employing the EPEC Hierarchy of Conditions (Version II) To Evaluate the Effectiveness of Using Synchronous Technologies with Multi-Location Student Cohorts in the Tertiary Education Setting","year":2017,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Coursework; Popularity; Competence (human resources); Distance education; Computer science; Mathematics education; Usability; Context (archaeology); Learning environment; Psychology; Social psychology; Human–computer interaction; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01129771,0.0005431385,0.0006684522,0.001914653,0.0008544857,0.001076983,0.0006331553,0.0007549893,0.003591912],"category_scores_gemma":[0.02872017,0.0003231837,0.002221641,0.00129337,0.0009814416,0.001495524,0.001971527,0.00124152,0.000470754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134334,"about_ca_system_score_gemma":0.001998562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198045,"about_ca_topic_score_gemma":0.003302135,"domain_scores_codex":[0.9937506,0.00248897,0.001069795,0.0004316087,0.001712899,0.0005460798],"domain_scores_gemma":[0.9478776,0.03513782,0.006487932,0.002808437,0.005343672,0.002344576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003485662,0.008026708,0.8831166,0.0004960197,0.000364014,0.0001340178,0.0034124,0.002537423,0.002782174,0.001155981,0.001263217,0.09322576],"study_design_scores_gemma":[0.0003080921,0.009896785,0.9785357,0.0000793274,0.00008477019,0.00006813231,0.00251719,0.004080301,0.002343063,0.0004244731,0.001619302,0.00004279359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882196,0.0000553159,0.003133118,0.00004752702,0.00004015549,0.003118493,0.0004089237,0.00003204075,0.004944724],"genre_scores_gemma":[0.9788635,0.00007282714,0.01076808,0.00004382317,0.00002021448,0.008389099,0.0007011474,0.00001499513,0.001126268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01129771,"threshold_uncertainty_score":0.05974877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06980353266702696,"score_gpt":0.5086009468194245,"score_spread":0.4387974141523975,"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."}}