{"id":"W2913406170","doi":"10.1002/pra2.2018.14505501129","title":"Bibliomaps ‐ a software to create web‐based interactive maps of science: The case of UX map","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Computer science; Metadata; Visualization; World Wide Web; Software; Similarity (geometry); Information retrieval; Interactive visualization; Scale (ratio); Data science; Data mining; Image (mathematics)","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":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005442222,0.0008965908,0.0007171213,0.006806474,0.0017704,0.006248299,0.00141388,0.001101129,0.02163304],"category_scores_gemma":[0.01775444,0.000900086,0.00149284,0.006493814,0.001189185,0.006084087,0.005882826,0.001506618,0.005118261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009429035,"about_ca_system_score_gemma":0.001785231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005375287,"about_ca_topic_score_gemma":0.006822472,"domain_scores_codex":[0.9973718,0.001142145,0.0002627845,0.0002924033,0.0007919187,0.0001389367],"domain_scores_gemma":[0.9866424,0.008793175,0.000403251,0.002328499,0.001264312,0.0005683906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001021702,0.0004313479,0.01577976,0.004363047,0.0006130479,0.004034457,0.04500115,0.01944894,0.01826126,0.1673239,0.2003038,0.5234177],"study_design_scores_gemma":[0.0001877114,0.0001399946,0.007594987,0.0008626861,0.0001638757,0.001012193,0.005804054,0.06149456,0.01315785,0.06747857,0.8418327,0.0002707961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05519332,0.0009321598,0.7137042,0.003064964,0.000546974,0.0008709899,0.0167626,0.1495789,0.05934602],"genre_scores_gemma":[0.2119974,0.0009397279,0.7334964,0.0002800904,0.0001486976,0.001363182,0.01412511,0.02058704,0.01706242],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9937517,"threshold_uncertainty_score":0.07236969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176762683719496,"score_gpt":0.2968086482535875,"score_spread":0.2850410214163925,"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."}}