{"id":"W2293541784","doi":"10.1109/biovis.2011.6094039","title":"Challenges session","year":2011,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Visualization; Session (web analytics); Computer science; Presentation (obstetrics); Data visualization; Cover (algebra); Information visualization; Data science; World Wide Web; Multimedia; Artificial intelligence; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002826087,0.001309401,0.0008811007,0.001306578,0.002347678,0.006420013,0.002114741,0.002759446,0.6612582],"category_scores_gemma":[0.005771087,0.0004886157,0.00121854,0.001072448,0.0003271814,0.003829323,0.004365821,0.00313415,0.5447775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258113,"about_ca_system_score_gemma":0.004101312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959332,"about_ca_topic_score_gemma":0.005627564,"domain_scores_codex":[0.9982845,0.0002449208,0.00009391527,0.0003232403,0.0007474134,0.000305884],"domain_scores_gemma":[0.9957088,0.0002865775,0.0001179019,0.0003769782,0.002152119,0.001357664],"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":[0.00005176621,0.00002165344,0.00005613186,0.0000979508,0.000003560811,0.00002767584,0.00002111946,0.00005864443,0.0002228407,0.001988576,0.9703547,0.02709534],"study_design_scores_gemma":[0.000007471078,0.00001719705,0.00014565,0.00004455384,0.000002188675,0.00002745573,0.00003001353,0.00004482044,0.0001001679,0.0006962742,0.99888,0.000004344513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00135751,0.004595148,0.007370082,0.03570699,0.0995651,0.00151412,0.02072578,0.002877277,0.8262879],"genre_scores_gemma":[0.006690491,0.00218375,0.002663308,0.004853783,0.009884289,0.0007371158,0.01515433,0.001136312,0.9566967],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3387418,"threshold_uncertainty_score":0.483174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493187077325498,"score_gpt":0.3284194477397812,"score_spread":0.1791007400072314,"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."}}