{"id":"W2019682042","doi":"10.1371/journal.pone.0015237","title":"ePlant and the 3D Data Display Initiative: Integrative Systems Biology on the World Wide Web","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Ontario Genomics","keywords":"Visualization; Computer science; Biological data; Systems biology; Suite; Computational biology; Organism; Biology; Bioinformatics; Data mining; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005935032,0.003024841,0.00234289,0.00298331,0.001204776,0.007063407,0.005486763,0.002055991,0.03301306],"category_scores_gemma":[0.007366725,0.001309818,0.00200645,0.004894072,0.001117615,0.006512962,0.006492706,0.006224772,0.02758536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238393,"about_ca_system_score_gemma":0.002679085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956744,"about_ca_topic_score_gemma":0.00263174,"domain_scores_codex":[0.9962453,0.0008551332,0.0001851084,0.0006940451,0.001737723,0.0002825788],"domain_scores_gemma":[0.9951773,0.001539346,0.0003837589,0.0009058905,0.00069141,0.001302348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008430568,0.0002039019,0.001395483,0.001794177,0.0004115226,0.0005757976,0.0005109439,0.003921498,0.0238649,0.04040239,0.7815759,0.1445004],"study_design_scores_gemma":[0.0004972495,0.0001466548,0.004723285,0.0004046753,0.0001594528,0.0005220089,0.0001254788,0.03190709,0.01855661,0.05279439,0.8898648,0.0002981439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005267289,0.005336956,0.5331112,0.006317962,0.001878833,0.001044744,0.1676429,0.2403398,0.03906029],"genre_scores_gemma":[0.03378226,0.008034012,0.4918335,0.002855981,0.0007887126,0.00459911,0.3885113,0.04384444,0.02575073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03301306,"threshold_uncertainty_score":0.1104397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06874026985137346,"score_gpt":0.2410324040043598,"score_spread":0.1722921341529864,"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."}}