{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006977537,0.0007760374,0.00066548,0.0007641191,0.0004989523,0.001416772,0.001626225,0.001158913,0.02094768],"category_scores_gemma":[0.002447592,0.0005160378,0.0007825457,0.0007900327,0.0005144476,0.0009729271,0.001125288,0.00110237,0.001509425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009279383,"about_ca_system_score_gemma":0.001043557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009012167,"about_ca_topic_score_gemma":0.007820756,"domain_scores_codex":[0.9997399,0.00008855717,0.00001516121,0.00003139,0.00009775498,0.00002729261],"domain_scores_gemma":[0.9992489,0.000539138,0.00002855076,0.00004788928,0.0000779627,0.00005749289],"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":[0.0004700558,0.0001449614,0.002898387,0.000586695,0.0001690273,0.0004371126,0.0009224166,0.7791808,0.0137581,0.06710098,0.0682013,0.06613025],"study_design_scores_gemma":[0.0001235713,0.00002410582,0.0002809485,0.00003536486,0.00001659995,0.00005211631,0.00005004516,0.9515798,0.005016787,0.01293955,0.02985881,0.00002222185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05576628,0.0005400903,0.8264431,0.001227556,0.0002297591,0.0003137859,0.008564226,0.07681724,0.03009792],"genre_scores_gemma":[0.3997985,0.001481861,0.5596163,0.0003367227,0.00007415053,0.001533235,0.01071428,0.008247875,0.01819714],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02094768,"threshold_uncertainty_score":0.07007694,"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."}}