{"id":"W2146677582","doi":"10.1145/1836049.1836067","title":"Visualization methods for molecular studies on the web platform","year":2010,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; McGill University","keywords":"Visualization; Computer science; Rendering (computer graphics); Data visualization; Set (abstract data type); Process (computing); Information visualization; Web application; Scheme (mathematics); World Wide Web; Data science; Human–computer interaction; Data mining; Computer graphics (images); Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005371703,0.00009496041,0.00007959348,0.00001530337,0.00009934024,0.00002240346,0.0001306852,0.000105764,0.00001460197],"category_scores_gemma":[0.0001606136,0.00005674729,0.00006913165,0.00003861173,0.00005197926,0.000001554508,0.00005911213,0.00006904899,0.000005115621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003081192,"about_ca_system_score_gemma":0.00002479715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.738421e-7,"about_ca_topic_score_gemma":0.00001370904,"domain_scores_codex":[0.9995342,0.00001516772,0.0001557257,0.0001211488,0.00004159501,0.0001321556],"domain_scores_gemma":[0.999526,0.00005527047,0.00005916542,0.0002537609,0.00007789108,0.00002790406],"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":[0.00003242451,0.0000188297,0.000007442904,0.00001294558,0.0001102119,8.078385e-8,0.00008468465,0.0000795274,0.7766091,0.1971282,0.01043128,0.01548528],"study_design_scores_gemma":[0.0003538078,0.0002559086,0.000007730703,0.000005088837,0.00002278935,0.000003616635,0.0003269796,0.01991327,0.7488784,0.01065222,0.2193918,0.0001883188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4316154,0.0005232575,0.5504849,0.001391709,0.001345439,0.0009146883,0.0000131525,0.00003175338,0.01367969],"genre_scores_gemma":[0.9370351,0.0001264605,0.05704605,0.004082972,0.0003101619,0.0001093501,0.00007311002,0.00002535081,0.001191394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5054197,"threshold_uncertainty_score":0.2314087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783542550191122,"score_gpt":0.3667420495983378,"score_spread":0.3389066240964266,"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."}}