{"id":"W6931567257","doi":"10.5281/zenodo.7966748","title":"cytoscape/cytoscape.js: v3.25.0","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visualization; Graph; Graph theory; Data visualization; Information visualization","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":[0.002574785,0.003047473,0.002936056,0.008016452,0.001694415,0.003816649,0.003985636,0.00193002,0.1794961],"category_scores_gemma":[0.009895643,0.002352888,0.001867588,0.005916376,0.0006358578,0.003750582,0.003086525,0.004260034,0.1311236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944684,"about_ca_system_score_gemma":0.003485399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006884543,"about_ca_topic_score_gemma":0.009300584,"domain_scores_codex":[0.9986379,0.0002418457,0.0001320655,0.0003453153,0.0005125388,0.0001304682],"domain_scores_gemma":[0.9963815,0.001697107,0.0002648633,0.000582259,0.0007003325,0.0003738378],"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":[0.0001356983,0.00005204159,0.0007130037,0.004591781,0.0003623198,0.0002643258,0.0003311441,0.002362396,0.004833737,0.009463836,0.9367854,0.04010435],"study_design_scores_gemma":[0.0001796305,0.0000305081,0.001352477,0.0005046706,0.000223498,0.0004384056,0.00006938741,0.007595963,0.01038095,0.03388215,0.94511,0.0002324386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001688992,0.001697206,0.09189516,0.000956459,0.0006924045,0.000429962,0.4941241,0.3871092,0.0214066],"genre_scores_gemma":[0.02006152,0.003608392,0.147635,0.001730642,0.0004946081,0.002998244,0.6374892,0.1564866,0.02949592],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1794961,"threshold_uncertainty_score":0.6004744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992231627570665,"score_gpt":0.3058709180796089,"score_spread":0.2759486018039022,"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."}}