{"id":"W3022714711","doi":"10.4018/978-1-7998-3292-8.ch015","title":"Private Interactions in Online Discussions","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affordance; Conversation; Online learning; Situated; Conversation analysis; Qualitative research; Psychology; Pedagogy; Computer science; Knowledge management; Multimedia; Sociology; Human–computer interaction; Communication","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":[0.004188765,0.0004719738,0.0003031228,0.000960989,0.004781295,0.007877367,0.0009649309,0.001824722,0.02108285],"category_scores_gemma":[0.01125818,0.0003764139,0.0004145698,0.000918177,0.004335664,0.01272232,0.01039114,0.001695309,0.003525736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106724,"about_ca_system_score_gemma":0.001211258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003589869,"about_ca_topic_score_gemma":0.0007774656,"domain_scores_codex":[0.9900944,0.0071427,0.0002627857,0.0006802206,0.001376573,0.0004434312],"domain_scores_gemma":[0.9895043,0.007262785,0.0009852978,0.001018552,0.0004049645,0.0008240754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002970675,0.0002657768,0.003243604,0.001354314,0.00003429029,0.00155413,0.2646314,0.0008072056,0.007568415,0.3771656,0.04386128,0.299217],"study_design_scores_gemma":[0.0000316804,0.0001054861,0.001565948,0.000651369,0.00001671105,0.001498474,0.04289158,0.000711355,0.002032139,0.07040435,0.8800526,0.00003822793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1948917,0.01335268,0.1042382,0.01100297,0.002435168,0.0006070322,0.0003548881,0.0008775652,0.6722398],"genre_scores_gemma":[0.7866815,0.004690242,0.03048125,0.001742569,0.001043315,0.0006257366,0.0003185124,0.0004183921,0.1739984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02108285,"threshold_uncertainty_score":0.07052916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748793826673208,"score_gpt":0.3276220420571183,"score_spread":0.3001341037903862,"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."}}