{"id":"W7154134677","doi":"10.1145/3772318.3809016","title":"10.1145/3772318.3809016","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Debugging; Visualization; Interactive visualization; Data visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002272382,0.004059609,0.002647856,0.003301534,0.002712683,0.005888045,0.003325613,0.005523245,0.9433889],"category_scores_gemma":[0.003683157,0.002315447,0.001610652,0.0103953,0.001843352,0.01149792,0.00664061,0.003270025,0.9657827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00267966,"about_ca_system_score_gemma":0.001381793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02265764,"about_ca_topic_score_gemma":0.01622365,"domain_scores_codex":[0.9991371,0.00005587002,0.00007496017,0.0002444395,0.0003011469,0.0001866514],"domain_scores_gemma":[0.9979321,0.0004212993,0.0000854012,0.0007142939,0.0004463306,0.0004005669],"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":[0.0002737195,0.0002018925,0.000507131,0.0006102647,0.00005285888,0.0002112029,0.0001126904,0.0007690038,0.001495998,0.006157621,0.6882753,0.3013324],"study_design_scores_gemma":[0.00004493391,0.00003761246,0.0008876328,0.0002929126,0.00005585272,0.0001544806,0.00009482302,0.001031936,0.0006403708,0.001728361,0.9949868,0.00004423347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002549074,0.006254563,0.01845028,0.001671444,0.00298944,0.0006275041,0.02071601,0.02798287,0.9187587],"genre_scores_gemma":[0.00416086,0.002902515,0.002955129,0.0008021574,0.0001861873,0.0002761154,0.01123991,0.003136352,0.9743409],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05661112,"threshold_uncertainty_score":0.08074892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009625299979264274,"score_gpt":0.2219694069171878,"score_spread":0.2123441069379235,"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."}}