{"id":"W2743287021","doi":"","title":"Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, BEA@NAACL-HLT 2012, June 7, 2012, Montréal, Canada","year":2012,"lang":"en","type":"article","venue":"The Association for Computational Linguistics","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Natural language processing; Computer science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006808115,0.001727885,0.001710285,0.002241276,0.002602366,0.01029861,0.003475027,0.002252901,0.0913913],"category_scores_gemma":[0.01369679,0.001400691,0.001640278,0.002230884,0.001415472,0.008754619,0.007621123,0.003840907,0.0405173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002820747,"about_ca_system_score_gemma":0.007352564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07227346,"about_ca_topic_score_gemma":0.1183201,"domain_scores_codex":[0.9959505,0.001820861,0.000340781,0.0007268185,0.0008645353,0.0002965817],"domain_scores_gemma":[0.9940441,0.00210225,0.00008663825,0.001308033,0.00183391,0.0006251442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003607343,0.0005298079,0.001489089,0.0007891461,0.0001315104,0.0003743847,0.001860824,0.002696501,0.007253358,0.01857503,0.4874198,0.4785198],"study_design_scores_gemma":[0.0001051096,0.00006590125,0.00150332,0.0002880687,0.0001265595,0.0001815283,0.001107072,0.02666876,0.009085535,0.02319689,0.937595,0.00007635441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.009529459,0.004685534,0.7377796,0.01383002,0.004068796,0.001405947,0.02175389,0.08189101,0.1250558],"genre_scores_gemma":[0.05839896,0.004603046,0.6604826,0.002557015,0.0007187648,0.001075944,0.07883336,0.01160431,0.181726],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0913913,"threshold_uncertainty_score":0.3057343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134210418400805,"score_gpt":0.2803863278671192,"score_spread":0.2669652860270387,"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."}}