{"id":"W2040517636","doi":"10.1145/2630099.2630108","title":"Spirograph inspired visualization of ecological networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Singapore-MIT Alliance for Research and Technology Centre","keywords":"Visualization; Computer science; Ecological network; Enhanced Data Rates for GSM Evolution; Ecosystem; Ecology; Graph drawing; Complex network; Distributed computing; Artificial intelligence; World Wide Web; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002232072,0.00005660332,0.0001000955,0.00007585473,0.0000348699,0.00005254723,0.0003751116,0.00004595436,0.000059983],"category_scores_gemma":[0.00006138399,0.00004506061,0.0000370839,0.0005279713,0.00003289106,0.0001852185,0.000118623,0.00002312153,0.00001234836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005756121,"about_ca_system_score_gemma":0.00001087553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004574301,"about_ca_topic_score_gemma":0.000005608206,"domain_scores_codex":[0.9993657,0.00005608187,0.0001923471,0.000151652,0.0001279242,0.0001063346],"domain_scores_gemma":[0.9995129,0.00004255462,0.00007592144,0.0002493584,0.00006974145,0.00004949393],"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":[5.235357e-7,0.00006221786,0.004214113,0.000003407669,0.000003980033,2.043009e-7,0.00001750536,0.0015096,0.00003216151,0.9843611,0.001386854,0.008408321],"study_design_scores_gemma":[0.0001374647,0.00008495386,0.007429719,0.000003564565,0.000002656633,5.629904e-7,0.000003150581,0.9816335,0.0002278064,0.001502615,0.008906297,0.00006769055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002338137,0.000005865321,0.9901786,0.00007746176,0.00009455879,0.00003780004,2.889651e-7,0.0001228058,0.007144505],"genre_scores_gemma":[0.9886566,0.00001484342,0.01017339,0.000955055,0.00002870822,0.000001337308,0.00001587162,0.000002997422,0.0001512199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9863185,"threshold_uncertainty_score":0.1837518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827104781648575,"score_gpt":0.2868803542275883,"score_spread":0.2686093064111025,"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."}}