{"id":"W2877520197","doi":"10.1111/cgf.13400","title":"ChangeCatcher: Increasing Inter‐author Awareness for Visualization Development","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Autodesk (Canada)","funders":"","keywords":"Workbook; Disk formatting; Computer science; Visualization; Variety (cybernetics); Data science; Human–computer interaction; World Wide Web; Information retrieval; Multimedia; Data mining; Artificial intelligence","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":[0.02557611,0.001578197,0.00078958,0.004156086,0.001772009,0.006699464,0.00351678,0.002938212,0.006474562],"category_scores_gemma":[0.1568195,0.001669801,0.0008281159,0.002080967,0.00184469,0.01797135,0.009951586,0.003780471,0.001594521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581127,"about_ca_system_score_gemma":0.002423854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007362521,"about_ca_topic_score_gemma":0.001415464,"domain_scores_codex":[0.9777316,0.01123891,0.001913405,0.003614379,0.004708342,0.0007933319],"domain_scores_gemma":[0.7772292,0.1373222,0.01435904,0.04789292,0.01728952,0.005907008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001185499,0.001512217,0.03037258,0.002180471,0.0001554674,0.001298974,0.1013885,0.002159471,0.05928608,0.008865944,0.02715422,0.7644407],"study_design_scores_gemma":[0.0006978126,0.004231632,0.07320704,0.003635784,0.0007813543,0.006455026,0.04291736,0.0809289,0.12141,0.03982726,0.6243243,0.001583613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2010642,0.0008496727,0.7133191,0.00378903,0.0004730602,0.001985663,0.0005482374,0.06383757,0.01413348],"genre_scores_gemma":[0.4694759,0.0003489759,0.5175695,0.0008295956,0.0002170642,0.001289038,0.0007709633,0.004086932,0.005411924],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02557611,"threshold_uncertainty_score":0.1352611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339487871147814,"score_gpt":0.3409907259254427,"score_spread":0.2875958472139645,"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."}}