{"id":"W6950474529","doi":"10.5683/sp3/xccczt","title":"Data Visualization","year":2012,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ontario Council of University Libraries; University of Waterloo; University of Toronto; York University","funders":"","keywords":"Visualization; Data visualization; Information visualization; Key (lock); Data collection","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":[0.003361393,0.002947599,0.001497489,0.005896254,0.001362694,0.004148745,0.002849662,0.001902336,0.04329973],"category_scores_gemma":[0.01837401,0.001121239,0.00183741,0.006751916,0.0005044862,0.003387181,0.004131099,0.002715275,0.08100133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094864,"about_ca_system_score_gemma":0.004147766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03025799,"about_ca_topic_score_gemma":0.07117626,"domain_scores_codex":[0.9964858,0.0005235656,0.000500062,0.0006898167,0.001331531,0.0004691682],"domain_scores_gemma":[0.9882953,0.001359753,0.0006277345,0.004558024,0.004272084,0.0008871648],"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":[0.00005138528,0.00001622303,0.0006414801,0.0002654963,0.00001888881,0.000009149237,0.0000323416,0.0001276654,0.0001936527,0.0004473498,0.9934744,0.004721958],"study_design_scores_gemma":[0.00008484613,0.00001504612,0.003703187,0.0001660415,0.00002259222,0.00005301369,0.00009517597,0.0005463503,0.001034812,0.001645345,0.9925964,0.00003723698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003221829,0.000107504,0.0009319821,0.0002988028,0.0000908703,0.00006820016,0.9884625,0.006567386,0.003150635],"genre_scores_gemma":[0.0008176899,0.00006062348,0.002976074,0.0000811875,0.0000125992,0.0001343916,0.9939498,0.0006130958,0.001354634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04329973,"threshold_uncertainty_score":0.144852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08401234366408274,"score_gpt":0.3688288245542036,"score_spread":0.2848164808901208,"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."}}