{"id":"W2399031877","doi":"","title":"Université de Montréal at the NTCIR-11 IMine Task","year":2014,"lang":"fr","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Computer science; Task (project management); Set (abstract data type); Information retrieval; Embedding; Resource (disambiguation); Artificial intelligence","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":[0.006121479,0.003357539,0.00277071,0.002404542,0.004062932,0.00421603,0.002180367,0.002065893,0.05047369],"category_scores_gemma":[0.01195656,0.0006726256,0.00113302,0.002362901,0.0008513193,0.003333081,0.003498165,0.002641238,0.03286308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005585495,"about_ca_system_score_gemma":0.009039883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3328841,"about_ca_topic_score_gemma":0.3776184,"domain_scores_codex":[0.9955426,0.001390545,0.0001392224,0.0009021952,0.001165627,0.0008598202],"domain_scores_gemma":[0.991398,0.00161952,0.0002100904,0.001547876,0.003088791,0.002135769],"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":[0.0008679324,0.0004221254,0.002321071,0.0005857979,0.0001268048,0.0003891196,0.0003859089,0.001317269,0.004193109,0.002131811,0.9258318,0.0614273],"study_design_scores_gemma":[0.001105842,0.0007625046,0.02508617,0.0003140976,0.0001982482,0.0007002095,0.001333792,0.01917938,0.01106787,0.005791305,0.9341677,0.0002929449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1084412,0.01705689,0.03370252,0.01857771,0.009770625,0.005371567,0.4493213,0.03629242,0.3214659],"genre_scores_gemma":[0.2080694,0.002167935,0.052099,0.003513832,0.001248013,0.002751711,0.5537912,0.003273685,0.1730853],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3328841,"threshold_uncertainty_score":0.661893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237784810724195,"score_gpt":0.179618876501483,"score_spread":0.1672410283942411,"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."}}