{"id":"W7154014739","doi":"10.1145/3772318.3808881","title":"10.1145/3772318.3808881","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; Component (thermodynamics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001021853,0.00008024699,0.00008807916,0.00006422781,0.00006038837,0.000155549,0.0006440965,0.00002592956,0.9619836],"category_scores_gemma":[0.00001852973,0.00007753154,0.00003054217,0.0004095623,0.00001320824,0.0002535684,0.00009944644,0.00003730577,0.9801548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001320529,"about_ca_system_score_gemma":0.00002498492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004762133,"about_ca_topic_score_gemma":6.065345e-8,"domain_scores_codex":[0.9992878,0.00002385152,0.0001249171,0.0002132234,0.0001753451,0.0001749006],"domain_scores_gemma":[0.9993621,0.00001792855,0.00001824406,0.0004370465,0.00003566003,0.0001290988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000240741,0.0000325129,1.395642e-7,0.000001662503,0.000004758797,0.000004150966,0.00001797225,0.0001266581,0.00001167741,0.0004162499,0.3457744,0.6536074],"study_design_scores_gemma":[0.00008645445,0.00004182021,0.00001127489,0.00000539144,0.000002611609,0.000003582749,2.027366e-7,0.04029757,0.00004794775,0.00003076584,0.959365,0.0001074133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002753795,0.00001213998,0.003724017,0.00058817,0.000003599322,0.00005789453,0.000007831162,0.0002164324,0.9953624],"genre_scores_gemma":[0.00007730199,3.992427e-7,0.002077803,0.0004825208,0.00004916578,0.000002372113,0.00001584901,0.000006861158,0.9972878],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6535,"threshold_uncertainty_score":0.3161645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003335681061711,"score_gpt":0.223380767077721,"score_spread":0.2133474102671039,"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."}}