{"id":"W2345881254","doi":"10.1145/2851581.2892334","title":"PaperQuest","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Focus (optics); sort; Citation; Information retrieval; Visualization; Component (thermodynamics); Key (lock); Reading (process); Data science; World Wide Web; Data mining","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":[0.007843741,0.002278243,0.001797879,0.011323,0.001561212,0.01088974,0.002737786,0.002448828,0.2351531],"category_scores_gemma":[0.05927825,0.001155195,0.001990514,0.01087567,0.000645254,0.008332646,0.005685624,0.002086258,0.08705333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210054,"about_ca_system_score_gemma":0.003879574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304884,"about_ca_topic_score_gemma":0.002152147,"domain_scores_codex":[0.994904,0.001112941,0.0007323585,0.0007675362,0.00222157,0.0002616323],"domain_scores_gemma":[0.9612145,0.02048415,0.003261434,0.004556744,0.008192714,0.002290486],"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":[0.000290774,0.00006429277,0.001791851,0.002639586,0.000116906,0.0001777827,0.0003375523,0.0004988512,0.0008055993,0.009933167,0.8646179,0.1187257],"study_design_scores_gemma":[0.0001821302,0.0000588652,0.001098494,0.0004517755,0.00003129141,0.0002430169,0.000140316,0.002005557,0.001841412,0.01617482,0.9777118,0.00006053971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.007353385,0.006309612,0.1192861,0.01036577,0.006297178,0.002726929,0.4069424,0.3023905,0.1383283],"genre_scores_gemma":[0.04877927,0.006208625,0.3508583,0.003698084,0.002823096,0.005050648,0.391247,0.0929995,0.09833542],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2351531,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875055119751902,"score_gpt":0.2830697176278619,"score_spread":0.2643191664303429,"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."}}