{"id":"W4253537795","doi":"10.12688/f1000research.6656.1","title":"NetMatchStar: an enhanced Cytoscape network querying app","year":2015,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Regional Development Fund","keywords":"Upload; Open peer review; Computer science; Graph; Plant biology; Computational biology; Information retrieval; Bioinformatics; World Wide Web; Biology; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001506509,0.001583884,0.001032731,0.002984033,0.0008285986,0.001866536,0.00265347,0.001741556,0.07225577],"category_scores_gemma":[0.007390327,0.0009803515,0.001115212,0.001767541,0.0003426279,0.003062316,0.003622148,0.001682983,0.02397265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000764747,"about_ca_system_score_gemma":0.001174519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286338,"about_ca_topic_score_gemma":0.007222294,"domain_scores_codex":[0.9990326,0.0001315379,0.00008252466,0.0002555131,0.0004234367,0.00007440154],"domain_scores_gemma":[0.9974796,0.001535642,0.0001271827,0.0003488727,0.0002916059,0.0002171081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001377689,0.000222932,0.005533041,0.003614495,0.0005539316,0.001555761,0.000755223,0.005419987,0.03004588,0.01439985,0.8079271,0.1285942],"study_design_scores_gemma":[0.0008244944,0.0001777803,0.006139294,0.0004360812,0.0001910862,0.002485983,0.0004506939,0.07085247,0.04970214,0.05355595,0.814775,0.0004089343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01278465,0.001779643,0.2145799,0.001493668,0.0008758054,0.0006610771,0.1461278,0.5985256,0.02317188],"genre_scores_gemma":[0.1403497,0.002681774,0.3920909,0.004960845,0.0005619442,0.004438535,0.2936645,0.1177695,0.04348234],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.07225577,"threshold_uncertainty_score":0.2417196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277091323734291,"score_gpt":0.3202493801142233,"score_spread":0.2874784668768803,"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."}}