{"id":"W6930524718","doi":"10.5281/zenodo.14794634","title":"ENVRI Glossary","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Glossary; Horizon; Terminology; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005912602,0.002228076,0.001553455,0.0124237,0.002466143,0.01034246,0.004011594,0.002429379,0.1989379],"category_scores_gemma":[0.02159446,0.001337599,0.001396753,0.01319089,0.001208355,0.009652232,0.004621259,0.003880596,0.2443187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003873058,"about_ca_system_score_gemma":0.006488967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02306382,"about_ca_topic_score_gemma":0.01653449,"domain_scores_codex":[0.9947549,0.001044416,0.001357499,0.0006049732,0.001982396,0.0002557483],"domain_scores_gemma":[0.9896219,0.002593788,0.0008607684,0.002052268,0.004528173,0.0003432548],"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":[0.00003179173,0.00001601318,0.0001258376,0.001180443,0.00001146141,0.00005689306,0.0002672768,0.000270783,0.0003311125,0.01728589,0.9470254,0.03339715],"study_design_scores_gemma":[0.000003364834,0.00000183744,0.00007199061,0.0003302951,0.000005101913,0.00003023638,0.00005026593,0.00005746816,0.00009792945,0.001877015,0.9974636,0.00001087177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009214777,0.00813035,0.03698682,0.006619061,0.003822425,0.001511128,0.5245576,0.01567737,0.4017738],"genre_scores_gemma":[0.004889975,0.01215127,0.04011391,0.004425158,0.001209671,0.002464949,0.7855644,0.01569085,0.1334899],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1989379,"threshold_uncertainty_score":0.6655137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141434018265427,"score_gpt":0.2540928513747862,"score_spread":0.2326785111921319,"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."}}