{"id":"W2074811005","doi":"10.1145/2633211.2634351","title":"Tulip","year":2014,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Centroid; Information retrieval; Feature (linguistics); Entity linking; Set (abstract data type); Context (archaeology); Feature vector; Graph; Artificial intelligence; Natural language processing; Theoretical computer science; Knowledge base; Linguistics; Programming language","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":[0.00008022159,0.00001879392,0.00002258499,0.00001068714,0.00001492546,0.00002829929,0.0002675558,0.000008337262,0.00002104809],"category_scores_gemma":[0.00001086005,0.00001492845,0.000008783244,0.00003374146,0.000002474236,0.00008498316,0.00006786096,0.00001706657,0.0001881705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002533392,"about_ca_system_score_gemma":0.000003749194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009479169,"about_ca_topic_score_gemma":0.000001680329,"domain_scores_codex":[0.9997565,0.000007766654,0.00003524549,0.00008770735,0.00005195656,0.00006089771],"domain_scores_gemma":[0.9997093,0.00001425336,0.000005256689,0.0002425003,0.000007471503,0.00002120261],"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":[3.013545e-8,0.000001849225,0.0001493846,5.155463e-7,3.38253e-7,1.510077e-7,0.0000359566,0.00004851253,0.0001073362,0.8878873,0.0005879649,0.1111806],"study_design_scores_gemma":[0.000047596,0.000007201252,0.0003698043,9.181772e-7,1.802791e-7,0.000001776091,0.00000117128,0.9366736,0.001000895,0.02488558,0.03696999,0.00004124484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003065793,0.000002554667,0.878477,0.0009468931,0.0001127184,0.000008614285,4.185333e-9,0.0001091654,0.1172773],"genre_scores_gemma":[0.7766222,1.583995e-7,0.2214523,0.0007798412,0.00003951744,5.539954e-7,2.0372e-8,7.381048e-7,0.001104625],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9366251,"threshold_uncertainty_score":0.2418614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732593325240539,"score_gpt":0.221161307912772,"score_spread":0.2038353746603666,"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."}}