{"id":"W1977623637","doi":"10.1145/1923947.1924010","title":"The centre on innovation for information visualization and data driven design","year":2010,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Information visualization; Visualization; Data visualization; Computer science; Human–computer interaction; Data science; Knowledge management; Data mining","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":[0.02599961,0.002784287,0.00343226,0.004802434,0.002242174,0.01400132,0.004264499,0.007777603,0.05345663],"category_scores_gemma":[0.09455697,0.002246637,0.003293145,0.005446164,0.005333986,0.01377355,0.007679384,0.009356804,0.02847969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003953424,"about_ca_system_score_gemma":0.009243605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005325962,"about_ca_topic_score_gemma":0.00238313,"domain_scores_codex":[0.964919,0.01076586,0.004038219,0.004197618,0.0149245,0.001154845],"domain_scores_gemma":[0.8751927,0.05852791,0.003808694,0.03293537,0.02533033,0.004205031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002376754,0.000162558,0.0009671446,0.001227455,0.0001372293,0.0002946141,0.001069516,0.003993444,0.00431339,0.5569951,0.1263398,0.3042621],"study_design_scores_gemma":[0.0002278938,0.0001228405,0.0005881438,0.0007326628,0.00008268462,0.0003210857,0.0001542588,0.02952161,0.004793288,0.2577443,0.7055966,0.000114628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00164059,0.004256174,0.8642756,0.02701341,0.00209418,0.0007378393,0.001835201,0.01148417,0.08666288],"genre_scores_gemma":[0.0555679,0.007528598,0.8486909,0.005316872,0.001806901,0.003255286,0.003780253,0.005367245,0.06868599],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05345663,"threshold_uncertainty_score":0.1788303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05398899855077789,"score_gpt":0.3420813752332291,"score_spread":0.2880923766824512,"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."}}