{"id":"W6931127854","doi":"10.5281/zenodo.3888994","title":"cytoscape/cytoscape.js v3.14.3","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","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":[0.002571806,0.002672856,0.00308433,0.008175768,0.001727931,0.004386873,0.004087082,0.002321803,0.2566335],"category_scores_gemma":[0.01020207,0.002322416,0.002051859,0.005760512,0.0006151748,0.003810445,0.002951013,0.003941878,0.156301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007545232,"about_ca_system_score_gemma":0.003025247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006107485,"about_ca_topic_score_gemma":0.008367727,"domain_scores_codex":[0.9986285,0.0002454945,0.000123687,0.0003902944,0.0004773685,0.0001347184],"domain_scores_gemma":[0.9963011,0.001826403,0.0002985454,0.0005915948,0.0006384787,0.0003438912],"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":[0.0001050023,0.00004239654,0.0006490953,0.004317409,0.0003488966,0.0002324361,0.0002774308,0.001762989,0.004176581,0.009154733,0.950566,0.02836717],"study_design_scores_gemma":[0.0001651539,0.00003057628,0.001435942,0.0005039646,0.0002515162,0.0003701716,0.00006434668,0.006937836,0.008506311,0.03226098,0.949259,0.0002141784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00162287,0.001491608,0.0797811,0.001029484,0.0008371364,0.0003988271,0.5353442,0.3550018,0.02449292],"genre_scores_gemma":[0.02357597,0.004001922,0.1522122,0.002038276,0.000587098,0.003916248,0.6112944,0.1604842,0.0418896],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2566335,"threshold_uncertainty_score":0.8585247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05853991838262187,"score_gpt":0.2813787519658756,"score_spread":0.2228388335832537,"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."}}