{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000437226,0.0001328036,0.0001733023,0.00001961079,0.0001157022,0.00002802061,0.0004243362,0.00007456922,0.00002121567],"category_scores_gemma":[0.0001102147,0.00006109189,0.00002172561,0.00005091695,0.0003141439,0.000004203296,0.0003225147,0.0001758808,0.00001789633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004742361,"about_ca_system_score_gemma":0.00002911378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002668704,"about_ca_topic_score_gemma":0.0001665294,"domain_scores_codex":[0.9992366,0.0001429984,0.0001886385,0.0002008227,0.00006449257,0.0001663998],"domain_scores_gemma":[0.9990008,0.0001718658,0.0001138061,0.0006394296,0.00003737664,0.00003670243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007498143,0.003673876,0.02458825,0.000548458,0.01352591,0.00002504016,0.01358938,0.00002727808,0.09238124,0.6650651,0.1706868,0.008390613],"study_design_scores_gemma":[0.02647161,0.007837084,0.01201828,0.004386721,0.003729827,0.0001550404,0.0158673,0.3447898,0.1912897,0.02778151,0.3594177,0.006255456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8449931,0.006865417,0.003278523,0.004572227,0.0005273934,0.002598001,0.00148827,0.00004328061,0.1356338],"genre_scores_gemma":[0.9966131,0.0006344576,0.0003504672,0.001320199,0.0001547308,0.00004541675,0.0002494841,0.00001075021,0.0006213565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6372836,"threshold_uncertainty_score":0.2491255,"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."}}