{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003058556,0.0001463953,0.0001189936,0.0001379851,0.0001008513,0.0002174796,0.0005522494,0.00007265853,0.0001240334],"category_scores_gemma":[0.0008943607,0.0001480238,0.0000509272,0.0000955902,0.00002879569,0.0001836732,0.0001227241,0.0001673426,0.0001807332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489596,"about_ca_system_score_gemma":0.0001515167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001541431,"about_ca_topic_score_gemma":0.000001856839,"domain_scores_codex":[0.9984193,0.00007282774,0.0003413005,0.0002672665,0.0006787103,0.0002205961],"domain_scores_gemma":[0.9986532,0.0001023356,0.0001205697,0.0002151937,0.0007840598,0.0001246162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001730754,0.00008132509,0.0004334687,0.000003629291,0.00001474234,0.000002555795,0.0001494905,0.008721909,0.00003067025,0.9670547,0.0003380186,0.02316773],"study_design_scores_gemma":[0.0001597556,0.00003538997,0.002811624,0.00002455143,0.000004112664,0.000009906261,0.000006919269,0.927909,0.0001004158,0.06497253,0.003811812,0.0001539725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007267001,0.00001677352,0.9484622,0.001706883,0.005610217,0.00009595219,0.000008237667,0.000189811,0.03664296],"genre_scores_gemma":[0.771358,0.000003235192,0.2257746,0.0005812038,0.002064305,0.00001107014,0.00006160302,0.000006453215,0.0001395295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9191871,"threshold_uncertainty_score":0.6036236,"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."}}