{"id":"W2889720336","doi":"10.1109/cscwd.2018.8465359","title":"A Collaboration between Visual and Automated Analyses of Complex Flow Patterns","year":2018,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Usability; Visual analytics; Task (project management); Visualization; Process (computing); Data mining; Human–computer interaction; Eye tracking; 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":[0.00009235968,0.00005869725,0.0001182914,0.00009915773,0.00005229712,0.0001283199,0.0001790224,0.00002373541,0.00006703618],"category_scores_gemma":[0.00002336402,0.00004917158,0.00001243635,0.0005359143,0.00004994528,0.000321874,0.0001135333,0.00001387966,0.00001418739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005987316,"about_ca_system_score_gemma":0.00002934057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004817412,"about_ca_topic_score_gemma":0.00004772755,"domain_scores_codex":[0.9994053,0.00003830537,0.0001826603,0.0001493095,0.0001441713,0.00008020583],"domain_scores_gemma":[0.9994834,0.00002879106,0.00007085122,0.0001614465,0.0002070872,0.0000484406],"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":[0.00002705724,0.0008397471,0.5391955,0.0003415882,0.0008138732,0.00001364675,0.007592141,0.0003515612,0.08115008,0.1157081,0.1309046,0.1230622],"study_design_scores_gemma":[0.0001563278,0.00009746831,0.04644242,0.000006832279,0.00001053524,4.966015e-7,0.00004836919,0.9440305,0.008456904,0.00006822815,0.0006166029,0.00006538524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1013151,0.000003137186,0.8976204,0.0002286662,0.00003143981,0.00004596981,0.00003341958,0.0002247671,0.0004971282],"genre_scores_gemma":[0.9791348,0.000003343366,0.02047828,0.0001980415,0.00003959101,4.768701e-7,0.00006986756,0.00000271229,0.00007289142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9436789,"threshold_uncertainty_score":0.2005159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07908272915697769,"score_gpt":0.4181285115374013,"score_spread":0.3390457823804236,"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."}}