{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001020459,0.00008031844,0.00008826533,0.00006461023,0.00006060896,0.0001558513,0.0006460242,0.00002595781,0.9623852],"category_scores_gemma":[0.00001847433,0.00007758557,0.00003058652,0.0004120399,0.00001322498,0.0002539355,0.0000996062,0.00003735512,0.9800338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001324589,"about_ca_system_score_gemma":0.0000249925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004897928,"about_ca_topic_score_gemma":6.154425e-8,"domain_scores_codex":[0.9992867,0.00002383034,0.0001251444,0.0002135715,0.0001756056,0.000175224],"domain_scores_gemma":[0.9993612,0.00001793191,0.00001826349,0.000438019,0.00003536787,0.0001292692],"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":[0.00000236651,0.00003209265,1.446121e-7,0.000001626739,0.000004673675,0.000004014365,0.00001802825,0.0001226173,0.00001120774,0.0003710614,0.345458,0.6539742],"study_design_scores_gemma":[0.00008664976,0.0000420323,0.00001138419,0.000005312499,0.000002609364,0.000003528895,2.054455e-7,0.04042117,0.00004688583,0.00002954688,0.9592432,0.0001074792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002788106,0.00001220149,0.003235345,0.0006090045,0.000003631941,0.00005773592,0.000007841629,0.0002164514,0.9958299],"genre_scores_gemma":[0.0000829711,4.115328e-7,0.00180855,0.0004857346,0.00004926103,0.000002364047,0.00001586906,0.000006867912,0.997548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6538667,"threshold_uncertainty_score":0.3163848,"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."}}