{"id":"W1982011946","doi":"10.1080/09523980903387571","title":"“Developing a perspective”, “inter‐connecting”, and “bringing it together”: who chooses to use a labelling feature in online conversations in a graduate course?","year":2009,"lang":"en","type":"article","venue":"Educational Media International","topic":"Digital Communication and Language","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Bishop's University","funders":"","keywords":"Labelling; Psychology; Multivariate analysis of variance; Graduate students; Perspective (graphical); Mathematics education; Medical education; Library science; Pedagogy; Computer science; Artificial intelligence; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002408054,0.0001335511,0.0001327599,0.0004519667,0.00005930433,0.0003084773,0.0006158495,0.00004008986,0.00002846344],"category_scores_gemma":[0.001007366,0.0001457877,0.0000303338,0.0004767434,0.00002471971,0.0008283796,0.0001386975,0.0002581362,0.00001248696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470853,"about_ca_system_score_gemma":0.000234128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000258853,"about_ca_topic_score_gemma":0.001432756,"domain_scores_codex":[0.9988909,0.00005123788,0.0002472145,0.0003384726,0.0002825767,0.0001896033],"domain_scores_gemma":[0.9987586,0.0006021126,0.00008183085,0.0002236761,0.0002403509,0.00009349445],"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":[0.00002582281,0.0005866672,0.02493568,0.000007206345,0.00003840199,0.00001555055,0.05613761,0.0003379954,0.0001489645,0.9019845,0.001280225,0.01450134],"study_design_scores_gemma":[0.0009117432,0.00004573618,0.9351862,0.0006848889,0.000004561435,0.00006440282,0.01151827,0.0169921,0.00009951519,0.02426008,0.009764923,0.0004675592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6433949,0.0001750751,0.008773793,0.3434669,0.0005093169,0.0002352514,0.00002344473,0.00005828519,0.003363085],"genre_scores_gemma":[0.9563988,0.00003789227,0.03882048,0.004246527,0.00009616522,0.00001871824,0.00005105857,0.00000758814,0.000322757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9102505,"threshold_uncertainty_score":0.5945051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06263707231975185,"score_gpt":0.3540408646202588,"score_spread":0.2914037923005069,"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."}}