{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002604031,0.0002179765,0.0002757556,0.001193319,0.001067209,0.002410886,0.000231408,0.0004194033,0.001379246],"category_scores_gemma":[0.01120103,0.0001119479,0.000223606,0.001017321,0.000814279,0.002385602,0.0007350273,0.0006406042,0.0003784374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007330949,"about_ca_system_score_gemma":0.0002938535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003489,"about_ca_topic_score_gemma":0.001607092,"domain_scores_codex":[0.9978207,0.001033236,0.0001526938,0.0002035744,0.0006524677,0.0001373019],"domain_scores_gemma":[0.9904786,0.005656955,0.001912497,0.0002506894,0.001379116,0.0003221673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001591447,0.000331946,0.2675422,0.00127216,0.0002394476,0.003158772,0.227386,0.001198497,0.1162898,0.01467932,0.02346969,0.3428406],"study_design_scores_gemma":[0.00004286606,0.000410109,0.5369963,0.0006153244,0.0001996144,0.002069105,0.2871045,0.02124622,0.02343168,0.00903588,0.1186595,0.0001888992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814019,0.000299399,0.005461969,0.001628025,0.0002088994,0.00004580236,0.00029347,0.00003418639,0.01062624],"genre_scores_gemma":[0.9946907,0.0002659121,0.002449745,0.0001757138,0.0001376494,0.00002630457,0.0001614881,0.0000313984,0.002060954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002604031,"threshold_uncertainty_score":0.01377165,"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."}}