{"id":"W2078923208","doi":"10.1145/2494266.2494297","title":"Beyond term clusters","year":2013,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Latent Dirichlet allocation; Computer science; Information retrieval; Topic model; Digital library; Domain (mathematical analysis); Term (time); Range (aeronautics); Data science; Mathematics","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":[0.003901653,0.001622448,0.001951055,0.005770852,0.002884919,0.005892384,0.00550318,0.002953139,0.00849642],"category_scores_gemma":[0.02300885,0.001022919,0.002386077,0.007822914,0.001995387,0.01185244,0.004348704,0.00338088,0.00623265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409846,"about_ca_system_score_gemma":0.003256847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149759,"about_ca_topic_score_gemma":0.01368179,"domain_scores_codex":[0.9958702,0.001006032,0.0002258282,0.00150162,0.001109614,0.0002866931],"domain_scores_gemma":[0.9899505,0.004573232,0.0006634506,0.002417557,0.001896347,0.000498893],"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":[0.0006071575,0.000264153,0.006894501,0.0008473244,0.0005165231,0.0003085165,0.001864388,0.1052195,0.003070265,0.3993493,0.06670041,0.414358],"study_design_scores_gemma":[0.00004966425,0.00006490436,0.00110389,0.0001153059,0.0001337969,0.0002561903,0.000245943,0.427935,0.001616821,0.5219283,0.04647408,0.00007604069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01127959,0.00217512,0.9705508,0.001680181,0.000476878,0.0002663386,0.002101598,0.002470949,0.008998556],"genre_scores_gemma":[0.2940084,0.002767022,0.6566773,0.001183697,0.00146476,0.001179721,0.008964006,0.001908773,0.0318464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01149759,"threshold_uncertainty_score":0.02842343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406133372622531,"score_gpt":0.2223514773731996,"score_spread":0.2082901436469743,"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."}}