{"id":"W2775810204","doi":"10.18608/jla.2017.43.4","title":"Talk with Me: Student Pronoun Use as an Indicator of Discourse Health","year":2017,"lang":"en","type":"article","venue":"Journal of Learning Analytics","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pronoun; Psychology; Consistency (knowledge bases); Perspective (graphical); Learning analytics; Discourse analysis; Perception; Personal pronoun; Linguistics; Computer science","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":[0.00253682,0.000105356,0.000371237,0.0001676519,0.001004631,0.0003158218,0.0005315454,0.00006543503,0.00006525358],"category_scores_gemma":[0.000862101,0.00007841441,0.00009895038,0.000110634,0.0003440657,0.0008171765,0.00004585445,0.0007151944,0.000003754995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134351,"about_ca_system_score_gemma":0.001791586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006724,"about_ca_topic_score_gemma":0.000876078,"domain_scores_codex":[0.9978665,0.0003728977,0.0004436734,0.0001291175,0.0009038507,0.000283992],"domain_scores_gemma":[0.9966602,0.00009595459,0.002412125,0.0002333974,0.0002987887,0.0002994773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001117424,0.0005110751,0.9482648,0.0000293225,0.0002681976,0.0001306532,0.0181812,0.003350211,0.00004252112,0.001639039,0.0001596442,0.0273116],"study_design_scores_gemma":[0.003149306,0.009844914,0.440406,0.001151695,0.0006339272,0.0001464062,0.2875459,0.001162369,0.0001388598,0.0003620471,0.254727,0.0007316369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940711,0.00008250806,0.0002750177,0.004638284,0.0001021329,0.00007569516,0.000001034583,0.00001090795,0.0007433557],"genre_scores_gemma":[0.994382,0.0002727312,0.003164634,0.00003384909,0.0004134378,3.110859e-7,0.000001143033,0.00001523625,0.001716714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5078588,"threshold_uncertainty_score":0.7726912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03783502848182088,"score_gpt":0.4243954636465723,"score_spread":0.3865604351647515,"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."}}