{"id":"W7154125967","doi":"10.1145/3772318.3808944","title":"10.1145/3772318.3808944","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); Visualization; Data visualization; Information visualization; Data collection","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":[0.00223049,0.003785544,0.002503488,0.0032356,0.002633055,0.005711025,0.003068855,0.004802498,0.9398785],"category_scores_gemma":[0.003361137,0.002007232,0.001458533,0.0104564,0.001678219,0.01081803,0.006408092,0.002890853,0.962208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002510261,"about_ca_system_score_gemma":0.001347898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075476,"about_ca_topic_score_gemma":0.01517976,"domain_scores_codex":[0.9991217,0.00006165779,0.00007478487,0.0002506864,0.0003055851,0.00018557],"domain_scores_gemma":[0.9980034,0.0004004372,0.00008118484,0.0006767833,0.0004646064,0.0003736437],"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":[0.0002663278,0.0001852703,0.0005133009,0.0005852028,0.00005098706,0.0002232443,0.0001099355,0.0007547808,0.001532029,0.006422025,0.672618,0.316739],"study_design_scores_gemma":[0.00003940352,0.00003588522,0.0008626007,0.0002777932,0.00005387595,0.0001615691,0.00009084802,0.001046315,0.0006469684,0.001712355,0.99503,0.00004227087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002567146,0.006027136,0.01765649,0.001510761,0.00282651,0.0005607316,0.01803759,0.02341678,0.9273968],"genre_scores_gemma":[0.003974659,0.002722483,0.00281759,0.0007315109,0.0001685288,0.0002366458,0.01008743,0.002689146,0.976572],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06012154,"threshold_uncertainty_score":0.085756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021001574334481,"score_gpt":0.2232212244140409,"score_spread":0.2130112086706961,"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."}}