{"id":"W2264735322","doi":"","title":"Enhancing Teaching Presence and Reducing Distance Using Voice Technologies","year":2005,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; British Columbia Institute of Technology","funders":"","keywords":"Computer science; Speech recognition","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":[0.0005597051,0.0002644841,0.0003366983,0.0005624648,0.0005582325,0.001807521,0.0006788468,0.0009845505,0.008742789],"category_scores_gemma":[0.007417106,0.0002208547,0.0003294107,0.0002566015,0.000273404,0.002111329,0.001690157,0.0007663534,0.001172271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002403606,"about_ca_system_score_gemma":0.000442593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002585728,"about_ca_topic_score_gemma":0.0005044035,"domain_scores_codex":[0.9987454,0.0003886459,0.00004602768,0.0002173886,0.0003995926,0.000202879],"domain_scores_gemma":[0.9931731,0.004488908,0.0004332866,0.000339748,0.0008124363,0.0007524977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001466157,0.005039131,0.0181384,0.0005103443,0.000095475,0.0002701094,0.002630984,0.002734615,0.292808,0.003546824,0.001387806,0.6713721],"study_design_scores_gemma":[0.001008388,0.01339532,0.1614624,0.0004493396,0.001462587,0.00298191,0.01029754,0.07240231,0.6813354,0.01232847,0.04260399,0.0002724529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442613,0.0002909805,0.03921846,0.0003834748,0.00009297192,0.00003815968,0.00002327663,0.0005045133,0.01518678],"genre_scores_gemma":[0.9847526,0.0001208504,0.01077078,0.00007986367,0.00005559751,0.00002634931,0.00002651821,0.0000630494,0.004104354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008742789,"threshold_uncertainty_score":0.02924752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161303652162504,"score_gpt":0.3434496509104202,"score_spread":0.2818366143887952,"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."}}