{"id":"W4210453740","doi":"10.1111/cgf.14443","title":"A Survey of Tasks and Visualizations in Multiverse Analysis Reports","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data science; Terminology; Variety (cybernetics); Visualization; Archetype; Data mining; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007356058,0.00009349319,0.0002290984,0.0009800913,0.0001516024,0.00006140849,0.0003658422,0.00002500517,0.00001256476],"category_scores_gemma":[0.00003437922,0.0001041236,0.00007045608,0.004970769,0.00005645413,0.0002132914,0.0009034983,0.00009944065,3.035305e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001651811,"about_ca_system_score_gemma":0.00004939659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000477009,"about_ca_topic_score_gemma":0.0008157596,"domain_scores_codex":[0.9986022,0.000224767,0.0003821238,0.0003495755,0.00027457,0.0001668313],"domain_scores_gemma":[0.9990401,0.00009963723,0.0002034341,0.000471416,0.0001253801,0.0000599963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002450792,0.0002226686,0.8611952,0.000009058416,0.0001421311,0.00004478708,0.0005835601,0.006290488,0.000003870094,0.1288406,0.001361141,0.001304006],"study_design_scores_gemma":[0.0001397368,0.00004120643,0.2433524,0.000002576374,0.00002027765,0.000005900676,0.00002839466,0.7546268,0.000004894531,0.0006156625,0.001066999,0.00009521738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0308874,0.00007242157,0.9685368,0.0001135508,0.0001611076,0.00009525186,0.00006335368,0.00004155394,0.00002856391],"genre_scores_gemma":[0.9963434,0.00002265641,0.002980003,0.0003969306,0.000003538483,0.000005873389,0.0002212717,0.000005336069,0.00002102983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9655568,"threshold_uncertainty_score":0.4246038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673716764399995,"score_gpt":0.3004707295011269,"score_spread":0.2737335618571269,"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."}}