{"id":"W2507669734","doi":"10.1007/978-3-319-45823-6_88","title":"evoVision3D: A Multiscale Visualization of Evolutionary Histories","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Visualization; Theoretical computer science; Artificial intelligence; Computer graphics (images)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004066816,0.0003282847,0.0004123687,0.0008682295,0.0001621807,0.0001378696,0.002129486,0.0002199205,0.00005570249],"category_scores_gemma":[0.0001797589,0.0002703807,0.0001039174,0.0006239119,0.0007039154,0.0008119524,0.001011063,0.0001796385,0.00003469318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227173,"about_ca_system_score_gemma":0.0005436977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000713282,"about_ca_topic_score_gemma":0.00001595211,"domain_scores_codex":[0.997048,0.00003414206,0.0005957898,0.0009489537,0.001032536,0.0003405382],"domain_scores_gemma":[0.9976122,0.0002830983,0.0004183008,0.001073858,0.0004904781,0.0001220244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006008223,0.00006848905,0.0002398258,0.0000755913,0.00001345786,0.00002024993,0.0007588586,0.003067946,0.0002659515,0.6392103,0.0003818978,0.3558915],"study_design_scores_gemma":[0.0004844678,0.000213952,0.0002195562,0.0008162126,0.00001375026,0.00003140991,2.419652e-7,0.774726,0.001308612,0.1945402,0.02683045,0.0008152278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000005410349,0.0003776587,0.99436,0.0003477335,0.001231666,0.0001749932,0.00002381067,0.0001103122,0.003368407],"genre_scores_gemma":[0.2439221,0.0003778341,0.7427259,0.002059189,0.001060079,0.00001377479,0.00009552095,0.0001174884,0.009628077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.771658,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712727842739933,"score_gpt":0.2804139453150413,"score_spread":0.263286666887642,"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."}}