{"id":"W2250571015","doi":"","title":"Towards Automatic Topical Question Generation","year":2012,"lang":"en","type":"article","venue":"International Conference on Computational Linguistics","topic":"Topic Modeling","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003492356,0.001250851,0.001346172,0.003915186,0.00154618,0.003569888,0.001711474,0.002230262,0.01708195],"category_scores_gemma":[0.010109,0.0009436179,0.001643951,0.001714645,0.0007190648,0.0047794,0.003882206,0.003253816,0.01283138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009349969,"about_ca_system_score_gemma":0.001736217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472294,"about_ca_topic_score_gemma":0.002123127,"domain_scores_codex":[0.9967039,0.001495713,0.0002412061,0.0007631006,0.0005378001,0.0002583547],"domain_scores_gemma":[0.9938467,0.002906509,0.0001694842,0.0008881327,0.001960933,0.0002282439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004678308,0.000340961,0.002082245,0.000614998,0.0001145296,0.0003783944,0.001080779,0.006785591,0.0718988,0.03615404,0.0807794,0.7993025],"study_design_scores_gemma":[0.0001486885,0.0001733665,0.001461661,0.0001218531,0.0001773074,0.0005316283,0.000894799,0.7415434,0.07270249,0.09500056,0.08717552,0.00006882106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0231312,0.0007788274,0.9401515,0.001647788,0.000737522,0.0004541569,0.002308735,0.02319249,0.007597761],"genre_scores_gemma":[0.2196952,0.0004615805,0.7528078,0.000531251,0.0005123971,0.0005293142,0.0137951,0.001923562,0.009743728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01708195,"threshold_uncertainty_score":0.05714482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09053207617422618,"score_gpt":0.3518676068766896,"score_spread":0.2613355307024634,"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."}}