{"id":"W4389472577","doi":"10.1016/j.eswa.2023.122676","title":"Top2Label: Explainable zero shot topic labelling using knowledge graphs","year":2023,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Topic Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Natural language processing; Graph; Sentence; Language model; Knowledge graph; Semantic similarity; Information retrieval; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001430656,0.002539042,0.00140074,0.004131806,0.001501981,0.00324677,0.003613044,0.003356816,0.02617654],"category_scores_gemma":[0.007411274,0.001363217,0.00237922,0.002955905,0.0006429465,0.00450117,0.004063828,0.002849583,0.01448531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577485,"about_ca_system_score_gemma":0.001786376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282687,"about_ca_topic_score_gemma":0.02710857,"domain_scores_codex":[0.9985415,0.0002976097,0.0000628984,0.0005985794,0.0003354583,0.0001640158],"domain_scores_gemma":[0.9976583,0.001063079,0.00009016296,0.000749165,0.0003260701,0.0001132449],"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":[0.001041224,0.0003278982,0.001528005,0.00150168,0.000360536,0.0004026008,0.0005965977,0.02047984,0.01415261,0.01867593,0.232705,0.7082282],"study_design_scores_gemma":[0.0002378934,0.00013796,0.001498957,0.0003184471,0.0002178536,0.0004177721,0.000341827,0.7209419,0.02693741,0.1189911,0.1298175,0.00014134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005835534,0.000777616,0.8437394,0.0002790982,0.0002681006,0.0002827783,0.02097715,0.1229914,0.004848866],"genre_scores_gemma":[0.08054455,0.000606363,0.8114766,0.0003620857,0.0001718063,0.0005573466,0.08514921,0.01071568,0.01041626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02617654,"threshold_uncertainty_score":0.08756924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06576893595542228,"score_gpt":0.3079112960256666,"score_spread":0.2421423600702443,"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."}}