{"id":"W2518599754","doi":"10.1109/tvcg.2016.2598647","title":"Authoring Data-Driven Videos with DataClips","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research","keywords":"Computer science; Data visualization; Computer graphics (images); Visualization; Multimedia; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001820645,0.001118601,0.000336265,0.001855607,0.0005070698,0.0018285,0.001064554,0.0006609569,0.0165015],"category_scores_gemma":[0.01713441,0.000343836,0.0005180205,0.000844737,0.0006629883,0.002558877,0.001919726,0.0009148202,0.003095699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004556912,"about_ca_system_score_gemma":0.0005281946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007044899,"about_ca_topic_score_gemma":0.002315892,"domain_scores_codex":[0.9991764,0.0003171496,0.00006517954,0.0001607142,0.000208064,0.00007238924],"domain_scores_gemma":[0.9841318,0.01168549,0.0004792333,0.001637043,0.001352831,0.0007137583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001018693,0.000811834,0.01040361,0.003699975,0.000105041,0.002623138,0.031439,0.007535206,0.1048643,0.01408467,0.11183,0.7115844],"study_design_scores_gemma":[0.0003980253,0.001367635,0.01382526,0.001198007,0.0001432618,0.003079359,0.01396583,0.1002938,0.146276,0.0215985,0.6975041,0.0003502288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2561694,0.0006701918,0.6382045,0.0009250344,0.0007876666,0.003230922,0.009842974,0.03423607,0.05593327],"genre_scores_gemma":[0.361452,0.0005527086,0.5959926,0.0003448376,0.0002530477,0.001827369,0.009290902,0.005426879,0.02485963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0165015,"threshold_uncertainty_score":0.05520308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615018026666694,"score_gpt":0.3042941386880955,"score_spread":0.2581439584214285,"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."}}