{"id":"W2068635035","doi":"10.1177/1473871612438787","title":"Introduction to the VAST 2010 Special Issue–Special Issue of best papers of Visual Analytics Science and Technology (VAST) 2010","year":2012,"lang":"en","type":"article","venue":"Information Visualization","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data science","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":[0.002850659,0.001470255,0.002263009,0.01166066,0.001773121,0.01090316,0.00168366,0.002211471,0.1192534],"category_scores_gemma":[0.009559552,0.0005743048,0.001286713,0.009634257,0.0008126473,0.005972028,0.002911092,0.00309451,0.07795706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252626,"about_ca_system_score_gemma":0.003514814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075773,"about_ca_topic_score_gemma":0.00931894,"domain_scores_codex":[0.9981109,0.0002101844,0.0002134925,0.0002727823,0.0009956887,0.0001969769],"domain_scores_gemma":[0.988088,0.001793279,0.0007997422,0.000726599,0.006098981,0.002493381],"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":[0.00001204026,0.00001102969,0.00003566163,0.0001185533,0.00000484185,0.0000120405,0.000006378358,0.0000315378,0.0001386454,0.0005917479,0.9821174,0.01692021],"study_design_scores_gemma":[0.000004958024,0.00001192805,0.0003096749,0.000167077,0.00001267506,0.00007174238,0.00002709509,0.0001134906,0.0001284894,0.001151401,0.9979908,0.00001059287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001043198,0.08425963,0.009181634,0.05454509,0.7590031,0.0001918508,0.004046794,0.002109273,0.0856195],"genre_scores_gemma":[0.006707131,0.07729276,0.007071543,0.0213388,0.4170789,0.0002587718,0.01003549,0.003536935,0.4566797],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1192534,"threshold_uncertainty_score":0.3989422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089102117004472,"score_gpt":0.2792262619442108,"score_spread":0.2683352407741661,"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."}}