{"id":"W2911523041","doi":"10.2196/10464","title":"Faculty and Student Interaction in an Online Master’s Course: Survey and Content Analysis","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distance education; Course (navigation); Face (sociological concept); Online course; Social constructivism; Pedagogy; Mathematics education; Psychology; Content analysis; Online learning; Medical education; Computer science; Sociology; Multimedia; Engineering; Medicine; Social science","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":[0.0009021211,0.00005355078,0.0001297866,0.0001020931,0.00005451567,0.00005492318,0.00007002455,0.00008140686,0.0003738034],"category_scores_gemma":[0.0002219279,0.00004651207,0.00001576211,0.0002932702,0.00005723377,0.0002239104,0.00002004131,0.0001787864,0.000005942471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005581867,"about_ca_system_score_gemma":0.0004868165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003017657,"about_ca_topic_score_gemma":0.05143428,"domain_scores_codex":[0.9988675,0.0003198794,0.0001605543,0.0001817271,0.0003562213,0.0001141417],"domain_scores_gemma":[0.9995229,0.00008312333,0.00006632456,0.00006835489,0.00008384312,0.0001755131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009379398,0.0004362503,0.879877,0.000004441657,0.00001673441,2.856055e-7,0.004927241,0.000001520797,0.000005700414,0.0000846449,0.00008609056,0.1145507],"study_design_scores_gemma":[0.0001989684,0.00004457159,0.9457744,0.00002188254,0.00001961177,3.414171e-7,0.04717788,0.0005315914,3.696895e-7,0.000008409229,0.006167543,0.00005437458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950183,0.00006816168,0.000007260046,0.004297527,0.0002371706,0.0001797969,0.000004684787,0.00001181123,0.0001752962],"genre_scores_gemma":[0.9985201,0.00005045054,0.00008658775,0.0002302772,0.0001342463,0.00001044422,0.000285519,0.000002995529,0.0006793946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1144964,"threshold_uncertainty_score":0.9658746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100906372996397,"score_gpt":0.4749823385233772,"score_spread":0.3740759655269802,"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."}}