{"id":"W7132867810","doi":"","title":"What&apos;s in a Note? Sentiment Analysis in Online Educational Forums","year":2011,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Objectivity (philosophy); Sentiment analysis; Reliability (semiconductor); Perception; Qualitative analysis; Social relation; Social media; Language acquisition","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":[0.0001771945,0.0001739982,0.0002693751,0.0008169287,0.0000258089,0.0002431368,0.001043933,0.0001184823,0.0002313715],"category_scores_gemma":[0.00002997876,0.0001813184,0.0001215858,0.001453458,0.00001163031,0.0005607864,0.0001230338,0.0002551834,0.00007762013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042433,"about_ca_system_score_gemma":0.000200314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375831,"about_ca_topic_score_gemma":0.04656894,"domain_scores_codex":[0.9988148,0.00006751352,0.0003077687,0.0003543783,0.0002447902,0.0002107621],"domain_scores_gemma":[0.9987525,0.00006915675,0.0001744807,0.0008800529,0.00006224179,0.00006158339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002113992,0.009736608,0.01459044,0.0003918869,0.0009887365,0.0001059644,0.4236379,0.0007528102,0.0005679445,0.2913185,0.002941436,0.2547563],"study_design_scores_gemma":[0.002646415,0.0002213205,0.8256624,0.001686119,0.0003928915,0.00001075092,0.06948778,0.03248202,0.001888875,0.01625538,0.04602335,0.003242687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6619124,0.005996929,0.00218384,0.008076586,0.001528884,0.00101682,0.00001685584,0.0001889555,0.3190788],"genre_scores_gemma":[0.8465128,0.0002988307,0.008778119,0.0005704971,0.00003147957,0.00008200654,0.002547497,0.0000253905,0.1411534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.811072,"threshold_uncertainty_score":0.9708287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03454720374344444,"score_gpt":0.3916652394811431,"score_spread":0.3571180357376986,"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."}}