{"id":"W6948720582","doi":"10.5281/zenodo.10055019","title":"cytoscape/cytoscape.js: v3.25.2","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Silymarin and Mushroom Poisoning","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"","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":[0.003087281,0.00282784,0.003504714,0.007265116,0.002038932,0.006208193,0.006489733,0.003204201,0.3855827],"category_scores_gemma":[0.01214969,0.003789918,0.00187178,0.006455227,0.0008105302,0.004471022,0.003090422,0.004430045,0.4714879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200157,"about_ca_system_score_gemma":0.003740193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006257487,"about_ca_topic_score_gemma":0.007589345,"domain_scores_codex":[0.9975834,0.0003821418,0.0002474407,0.000561816,0.000910455,0.0003147622],"domain_scores_gemma":[0.9956521,0.001546624,0.0002831263,0.0009236548,0.00103919,0.0005554042],"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":[0.0001177794,0.00002099171,0.000252998,0.001507082,0.00009377546,0.00007836197,0.0000630999,0.0004451332,0.001757576,0.001322201,0.9783252,0.0160159],"study_design_scores_gemma":[0.0001683514,0.00002546863,0.0005947597,0.0002043549,0.00009629678,0.0002890007,0.00002056928,0.00112955,0.008901123,0.006365533,0.9820704,0.0001344949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0008536067,0.002434843,0.02687247,0.001363061,0.0007992142,0.0003961671,0.7333481,0.204859,0.02907344],"genre_scores_gemma":[0.008140747,0.002720964,0.02936877,0.001885146,0.0004594104,0.00235273,0.8049218,0.1101275,0.04002288],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3855827,"threshold_uncertainty_score":0.8763918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03930054912991336,"score_gpt":0.272732312348823,"score_spread":0.2334317632189096,"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."}}