{"id":"W3025879832","doi":"","title":"Fireflies: Expressive InfoVis Inspired by Biomimicry","year":2016,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Sustainable Design and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biomimetics; Computer science; Cognitive science; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009581585,0.0001891261,0.0001655202,0.0001163944,0.0001478849,0.0001051768,0.000449433,0.0001045304,0.0002281716],"category_scores_gemma":[0.0004888152,0.0001593858,0.00006185945,0.0002806901,0.0001037617,0.0002264061,0.0001403439,0.00009160111,0.0001293749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627664,"about_ca_system_score_gemma":0.00007248014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007895842,"about_ca_topic_score_gemma":0.00003084459,"domain_scores_codex":[0.9983816,0.0005321454,0.0002865538,0.0002648125,0.0002020788,0.0003328624],"domain_scores_gemma":[0.9979007,0.0006590509,0.00007381228,0.0007127435,0.0005076219,0.0001461221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002409067,0.0003187383,0.002242402,0.0001841452,0.0001723952,0.00001880541,0.0167213,0.00004783326,0.4647336,0.01851377,0.1360929,0.3609299],"study_design_scores_gemma":[0.0009971699,3.455376e-7,0.001246982,0.0005517111,0.00001044856,0.000005937591,0.000271867,0.002478994,0.7330019,0.0009050594,0.2600656,0.0004638977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3665489,0.002254748,0.5028847,0.006823192,0.000351599,0.0005722934,0.0000865998,0.001627999,0.1188499],"genre_scores_gemma":[0.9775312,0.0005453462,0.008262267,0.0001080926,0.00001031897,0.00007045903,0.00005154224,0.0000446054,0.01337619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6109822,"threshold_uncertainty_score":0.6499563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005996132506371613,"score_gpt":0.1810438212963272,"score_spread":0.1750476887899555,"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."}}