{"id":"W2184914077","doi":"10.1109/vast.2015.7347681","title":"Topicks: Visualizing complex topic models for user comprehension","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Computer science; Comprehension; Human–computer interaction; Visualization; Data science; World Wide Web; Artificial intelligence; 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":[0.0001375259,0.00008101764,0.0001172778,0.00005381197,0.00006314918,0.0001595017,0.0004259114,0.00003154741,0.00001499041],"category_scores_gemma":[0.0000189912,0.00006915192,0.00003951,0.0001484184,0.00001402997,0.0005429208,0.0001965211,0.00002648792,0.00002508778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002067608,"about_ca_system_score_gemma":0.00003673442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002901596,"about_ca_topic_score_gemma":0.00001724115,"domain_scores_codex":[0.9992504,0.00002424298,0.0001713919,0.0002153456,0.0001782675,0.0001603919],"domain_scores_gemma":[0.9993131,0.00003791002,0.00003872536,0.0003273503,0.0001657248,0.0001172017],"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":[0.000001478169,0.00003518264,0.00008844773,0.000008669085,0.000005426419,7.313334e-7,0.0002190002,0.001333371,0.00007713219,0.9443092,0.05124346,0.00267791],"study_design_scores_gemma":[0.0003402011,0.00003468327,0.00003735649,0.000004684419,0.000002400412,0.00000157186,0.0000499563,0.7627231,0.000155908,0.01420195,0.2223601,0.0000881321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005668981,0.00002132805,0.9923247,0.001158128,0.0002018843,0.0001213286,0.000002194395,0.0001715231,0.005432034],"genre_scores_gemma":[0.4423039,0.00002019272,0.534505,0.009995596,0.0002307046,0.00001824945,0.0001218957,0.00002080182,0.01278368],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9301072,"threshold_uncertainty_score":0.2819933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2154475611719375,"score_gpt":0.3768201970036711,"score_spread":0.1613726358317336,"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."}}