{"id":"W6931010656","doi":"10.5281/zenodo.15109070","title":"SwanHubX/SwanLab: v0.5.4","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"","keywords":"Callback; Feature (linguistics); Architecture; Frame (networking)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001726638,0.005383709,0.001726075,0.001646572,0.001162627,0.004410069,0.009169324,0.003126719,0.4978548],"category_scores_gemma":[0.006433276,0.003661615,0.002518341,0.001244089,0.0008429165,0.006541084,0.00576091,0.005408031,0.5492659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956256,"about_ca_system_score_gemma":0.001806435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008469463,"about_ca_topic_score_gemma":0.008123867,"domain_scores_codex":[0.998442,0.000126534,0.0001150202,0.0003105115,0.0006267398,0.0003791991],"domain_scores_gemma":[0.997709,0.0001733154,0.00006979945,0.0006928623,0.001044288,0.0003107401],"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":[0.0002233978,0.00003350399,0.0003095351,0.0002151422,0.00002799622,0.00004608745,0.00005112746,0.0003217919,0.001524833,0.001174028,0.9792662,0.01680626],"study_design_scores_gemma":[0.0002848586,0.00005043512,0.0008774211,0.0001922966,0.00002939243,0.0001708432,0.00004202237,0.003832016,0.01100293,0.003068961,0.980335,0.0001137428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0009489108,0.0004153353,0.0300559,0.0006626831,0.0007162478,0.0002122582,0.02529125,0.8954606,0.04623682],"genre_scores_gemma":[0.01090165,0.0004871653,0.03390088,0.002074121,0.0001851808,0.0006413969,0.09130001,0.779313,0.08119655],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4978548,"threshold_uncertainty_score":0.7162492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273637549978748,"score_gpt":0.2294286627709774,"score_spread":0.2166922872711899,"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."}}