{"id":"W4238511116","doi":"10.1109/tvcg.2018.2874600","title":"Committee","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001710966,0.0002022225,0.0001614185,0.0004538345,0.0005123115,0.0001169939,0.0001274281,0.0001127318,0.0001438738],"category_scores_gemma":[0.00000117201,0.0002070756,0.00007414784,0.0009297249,0.000316666,0.0002023966,0.000001553723,0.0001533396,0.0004249169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002090133,"about_ca_system_score_gemma":0.00002123954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001824939,"about_ca_topic_score_gemma":0.0000857224,"domain_scores_codex":[0.9987819,0.0001308046,0.0002505002,0.0003365347,0.0002773613,0.000222926],"domain_scores_gemma":[0.9992216,0.00006149444,0.00006932954,0.0002788849,0.0002328635,0.0001358881],"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":[0.0002019269,0.001152743,0.0006253458,0.00005123185,0.0002299401,0.000005943054,0.003204486,0.0002104425,0.0002964973,0.9638036,0.01272183,0.017496],"study_design_scores_gemma":[0.001376911,0.0008808473,0.001731315,0.00006185527,0.00007713822,0.00003700326,0.0000563532,0.961042,0.009023461,0.001313398,0.02389242,0.0005072738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04505042,0.00001241979,0.953115,0.0000292993,0.0007801682,0.0001766214,0.00002877657,0.0004595107,0.0003477841],"genre_scores_gemma":[0.9975197,0.00004815968,0.000358032,0.001685873,0.0001827812,0.00001465709,0.000009687735,0.00005981731,0.0001213232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9624902,"threshold_uncertainty_score":0.8444299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250974096739769,"score_gpt":0.293904249951737,"score_spread":0.2688068402777601,"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."}}