{"id":"W2028822613","doi":"10.1109/tvcg.2014.2346292","title":"Constructing Visual Representations: Investigating the Use of Tangible Tokens","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Computer science; Visualization; Human–computer interaction; Data visualization; Computer graphics (images); Artificial intelligence; Multimedia","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":[0.006427448,0.0007711742,0.0003408346,0.001562897,0.001409722,0.005600094,0.001495149,0.001563668,0.004496078],"category_scores_gemma":[0.04719273,0.0005397177,0.0005943774,0.0008592022,0.004176304,0.007226617,0.005438006,0.001101572,0.0005327173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009358809,"about_ca_system_score_gemma":0.0007683489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020662,"about_ca_topic_score_gemma":0.0008649844,"domain_scores_codex":[0.9945754,0.003609195,0.0001937952,0.0004428192,0.0008329279,0.0003458337],"domain_scores_gemma":[0.9704907,0.0237887,0.002195886,0.002096861,0.0008876439,0.0005401101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003730417,0.0002065629,0.01433469,0.001189359,0.00004457618,0.002305597,0.8109311,0.001712693,0.04090835,0.03746434,0.001450683,0.08907902],"study_design_scores_gemma":[0.0002799397,0.002232652,0.03099388,0.002068881,0.0002773682,0.006193459,0.6293724,0.03261182,0.06145539,0.0647233,0.1693958,0.0003951284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9068932,0.000500207,0.07192407,0.0007423215,0.00006498287,0.0002208378,0.00009236235,0.0004495905,0.01911234],"genre_scores_gemma":[0.9698705,0.0001945607,0.02672546,0.00006598694,0.00001096619,0.0001298932,0.00006251196,0.0001312147,0.002808812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006427448,"threshold_uncertainty_score":0.03399199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05256574381991955,"score_gpt":0.3093854272498913,"score_spread":0.2568196834299717,"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."}}