{"id":"W7154076678","doi":"10.1145/3772318.3808949","title":"10.1145/3772318.3808949","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); Data visualization; Visualization; Component (thermodynamics); 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":[0.0001023069,0.00008030808,0.00008821629,0.00006420491,0.00006059753,0.0001558521,0.0006456883,0.00002595171,0.963755],"category_scores_gemma":[0.00001858052,0.00007756994,0.00003056261,0.0004095717,0.00001322191,0.0002540611,0.00009961212,0.00003735005,0.9805889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322215,"about_ca_system_score_gemma":0.00002487679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005047678,"about_ca_topic_score_gemma":6.306911e-8,"domain_scores_codex":[0.9992866,0.00002382522,0.0001253495,0.000213513,0.0001755236,0.0001751964],"domain_scores_gemma":[0.9993609,0.00001791843,0.00001829835,0.0004379156,0.00003575779,0.0001292765],"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":[0.000002354021,0.00003199029,1.448359e-7,0.000001620159,0.000004704134,0.000004001613,0.00001793365,0.0001218931,0.00001114558,0.0003712093,0.3496204,0.6498126],"study_design_scores_gemma":[0.00008636555,0.00004169246,0.00001207796,0.000005304283,0.000002635159,0.000003528126,2.033992e-7,0.04055437,0.00004660297,0.00002912418,0.9591106,0.0001074544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002755692,0.00001215797,0.003249877,0.0006007146,0.000003613024,0.00005740279,0.00000781057,0.0002130473,0.9958278],"genre_scores_gemma":[0.00008478816,4.046294e-7,0.001809203,0.0004855778,0.00004924192,0.000002363986,0.00001569623,0.000006865346,0.9975458],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6497052,"threshold_uncertainty_score":0.316321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001048734582395,"score_gpt":0.2232405212365728,"score_spread":0.2132300338907489,"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."}}