{"id":"W2107956835","doi":"10.24059/olj.v5i2.1875","title":"ASSESSING TEACHING PRESENCE IN A COMPUTER CONFERENCING CONTEXT","year":2019,"lang":"en","type":"article","venue":"Online Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1854,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Context (archaeology); Computer science; Online teaching; Teleconference; Computer-mediated communication; Mathematics education; Multimedia; World Wide Web; Psychology; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00254311,0.0002755567,0.000362889,0.002233055,0.00122677,0.00145863,0.0006033562,0.0006769894,0.001917672],"category_scores_gemma":[0.01677737,0.0002236312,0.0002624277,0.0007245036,0.000677755,0.001353793,0.002427474,0.0009365915,0.0002754311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299296,"about_ca_system_score_gemma":0.0008198443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006861957,"about_ca_topic_score_gemma":0.001474243,"domain_scores_codex":[0.995693,0.002266046,0.0002712108,0.0003295847,0.001085974,0.0003541798],"domain_scores_gemma":[0.9790708,0.01193933,0.003685959,0.0007374515,0.002431002,0.002135478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009715577,0.004082355,0.3947014,0.0009093108,0.0001140712,0.00172961,0.1220374,0.001437668,0.06606461,0.001183537,0.0008048437,0.4059636],"study_design_scores_gemma":[0.00007320154,0.005703359,0.850529,0.0003162664,0.0001591675,0.003198046,0.09713785,0.003817756,0.02805472,0.001278932,0.009534033,0.0001977282],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951118,0.00008251181,0.00245758,0.00003744145,0.000008451053,0.00006021944,0.00001934753,0.00003008241,0.002192724],"genre_scores_gemma":[0.9964438,0.00008711457,0.00295615,0.00001785305,0.00001095531,0.00004951371,0.00002747584,0.000003834764,0.00040328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00254311,"threshold_uncertainty_score":0.01344937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805072389971831,"score_gpt":0.3608414246084027,"score_spread":0.3327907007086844,"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."}}