{"id":"W1889881724","doi":"10.1093/bioinformatics/btv385","title":"Hyperscape: visualization for complex biological networks","year":2015,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"Centre National de la Recherche Scientifique; Heart and Stroke Foundation of Canada","keywords":"Visualization; Computer science; Biological network; Computational biology; Artificial intelligence; Biology","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":[0.001671644,0.002094005,0.0008919762,0.003308782,0.0007743019,0.002786163,0.002598269,0.001264283,0.07444757],"category_scores_gemma":[0.006768263,0.0009692047,0.001397275,0.002299297,0.0006427241,0.003476562,0.003554132,0.002169354,0.0114068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007029622,"about_ca_system_score_gemma":0.001085266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004080023,"about_ca_topic_score_gemma":0.004328659,"domain_scores_codex":[0.9993309,0.0001884516,0.0000546678,0.000124171,0.0002503012,0.00005156894],"domain_scores_gemma":[0.9970672,0.001805803,0.0001413774,0.0003837355,0.0003959837,0.0002059727],"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":[0.0008423846,0.0001553364,0.002669009,0.002568207,0.0003836693,0.0009441987,0.001066466,0.0397983,0.01928355,0.04823534,0.6724742,0.2115793],"study_design_scores_gemma":[0.0003923648,0.00009885781,0.00329376,0.0006955884,0.00008964826,0.0009578841,0.0002566665,0.432452,0.02496004,0.1401412,0.3964004,0.0002616404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007750341,0.001057916,0.6277607,0.001635414,0.0003636671,0.0003881716,0.05342992,0.296097,0.01151683],"genre_scores_gemma":[0.1018875,0.002608313,0.7292573,0.001113183,0.0002470073,0.002186344,0.1009626,0.05009397,0.01164373],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07444757,"threshold_uncertainty_score":0.2490519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05209407698517685,"score_gpt":0.2850710021989206,"score_spread":0.2329769252137438,"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."}}