{"id":"W2342196429","doi":"10.1145/2883851.2883916","title":"Bringing order to chaos in MOOC discussion forums with content-related thread identification","year":2016,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Categorization; Thread (computing); Computer science; Recall; Content analysis; Natural language processing; Artificial intelligence; Psychology","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":[0.01006651,0.0007774127,0.0008179184,0.005004041,0.001748026,0.004029329,0.0009279719,0.001236764,0.00122828],"category_scores_gemma":[0.06001785,0.0005895529,0.00102064,0.001560497,0.001760001,0.007310515,0.002726287,0.001448762,0.0005585912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042881,"about_ca_system_score_gemma":0.002082746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004172686,"about_ca_topic_score_gemma":0.004061765,"domain_scores_codex":[0.9926941,0.003577221,0.0005282005,0.001448246,0.001252501,0.0004997678],"domain_scores_gemma":[0.9392,0.04142873,0.008837628,0.004061428,0.004868733,0.001603399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002247565,0.001009873,0.478462,0.0008523517,0.0002848518,0.0004681655,0.03884418,0.02544806,0.02127215,0.01747793,0.002621073,0.4110118],"study_design_scores_gemma":[0.0001080373,0.0007786027,0.1493655,0.0005085848,0.0002390188,0.0004527064,0.008548555,0.7656613,0.009163057,0.05507774,0.009852177,0.0002448329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6677601,0.0003229608,0.3249753,0.0006657684,0.0001122493,0.0006765485,0.0002482237,0.001279745,0.003959187],"genre_scores_gemma":[0.9430478,0.00006750225,0.05542567,0.00007027047,0.00005113812,0.0002135562,0.0002633338,0.00006656222,0.0007942275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006651,"threshold_uncertainty_score":0.05323744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516556163587757,"score_gpt":0.2488470653645864,"score_spread":0.2336815037287088,"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."}}