{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001879606,0.001883189,0.0014186,0.003745595,0.00185264,0.004875112,0.00327164,0.00205489,0.1150427],"category_scores_gemma":[0.006023239,0.0008915667,0.001389863,0.00262305,0.000480788,0.006395765,0.00619518,0.002156205,0.2064186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364858,"about_ca_system_score_gemma":0.001635648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004859691,"about_ca_topic_score_gemma":0.005066782,"domain_scores_codex":[0.9978187,0.000255173,0.0001895617,0.0005786875,0.0008899322,0.0002678386],"domain_scores_gemma":[0.9973249,0.0004252873,0.0001038087,0.0009304471,0.0009769761,0.0002386419],"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":[0.0006893121,0.0001280246,0.0007262386,0.0007623188,0.00005821239,0.0002732077,0.0002274999,0.0009081902,0.004676017,0.006544606,0.7301388,0.2548676],"study_design_scores_gemma":[0.00007429067,0.0001062732,0.0008932028,0.0001309229,0.00004707737,0.0004680138,0.0001114163,0.007868296,0.006324561,0.006142434,0.9777423,0.00009133726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.01066905,0.00611884,0.1278701,0.003413891,0.003226949,0.000856394,0.09567332,0.4677415,0.28443],"genre_scores_gemma":[0.05857527,0.004417366,0.1644792,0.003937368,0.000891189,0.001055358,0.4415467,0.05077573,0.2743219],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8849573,"threshold_uncertainty_score":0,"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."}}