{"id":"W2109229530","doi":"10.1057/palgrave.ivs.9500055","title":"GeneVis: Simulation and Visualization of Genetic Networks","year":2003,"lang":"en","type":"article","venue":"Information Visualization","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Calgary","funders":"Canadian Institutes of Health Research; Health Research","keywords":"Representation (politics); Computer science; Context (archaeology); Visualization; Process (computing); Theoretical computer science; Artificial intelligence; Biology; Programming language","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":[0.0002293823,0.0001235736,0.0001248322,0.0001401199,0.00007817709,0.000035873,0.00005391393,0.0001449091,0.0000247998],"category_scores_gemma":[0.0001378227,0.0001340072,0.00004602843,0.0003323542,0.00003976338,0.00004446101,0.00002444453,0.00002140589,0.000003878788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000132638,"about_ca_system_score_gemma":0.000034992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002869876,"about_ca_topic_score_gemma":0.000003043412,"domain_scores_codex":[0.99898,0.0001097668,0.000476464,0.0001340659,0.0001711383,0.0001285577],"domain_scores_gemma":[0.9991407,0.00001154075,0.0003125713,0.0001943951,0.0002888686,0.00005186797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001858783,0.00002076014,0.02778435,0.00003934418,0.00004480227,4.972342e-8,0.0001445096,0.962348,0.002271259,0.003665867,0.0001828073,0.003479695],"study_design_scores_gemma":[0.0006399392,0.0001488659,0.0258636,0.00001944959,0.00007476946,0.000005869842,0.0001127484,0.938899,0.0138642,0.0001208203,0.01997565,0.0002751283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3250102,0.0003540411,0.6740723,0.000002625522,0.00006027661,0.0001586929,0.00000187337,0.0000148617,0.000325147],"genre_scores_gemma":[0.9984508,0.0002307575,0.0006926477,0.000113227,0.00005283357,0.00001002435,0.0004044811,0.00001381366,0.0000314035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6734406,"threshold_uncertainty_score":0.5464655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007647089185397043,"score_gpt":0.2698627194879419,"score_spread":0.2622156303025449,"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."}}