{"id":"W6969374798","doi":"10.5281/zenodo.7897026","title":"informagi/mmead","year":2023,"lang":"en","type":"other","venue":"Radboud Repository (Radboud University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Python (programming language); Named entity; Software; Entity linking; Resource (disambiguation)","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":["insufficient_payload"],"category_scores_codex":[0.002261862,0.002793991,0.002016427,0.003776811,0.001291808,0.004306768,0.003090974,0.001298247,0.3191335],"category_scores_gemma":[0.00838412,0.001565245,0.002138281,0.004669699,0.000541158,0.00566758,0.00497489,0.002500178,0.4066596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387536,"about_ca_system_score_gemma":0.002168402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009971371,"about_ca_topic_score_gemma":0.01860657,"domain_scores_codex":[0.9980117,0.0002762442,0.00017824,0.0006466889,0.0006778237,0.0002093635],"domain_scores_gemma":[0.9972017,0.0005600768,0.0001563332,0.001275593,0.0005409844,0.0002653848],"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":[0.0001024738,0.00002128556,0.00027448,0.0003592231,0.00003630463,0.00002587185,0.00005572847,0.0001461423,0.0003979232,0.001181599,0.976808,0.02059101],"study_design_scores_gemma":[0.00008131813,0.00001859954,0.0009532782,0.00008305653,0.00002413552,0.00009860404,0.00005114003,0.001439919,0.001967049,0.003905363,0.9913368,0.00004065114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001232634,0.0007968444,0.02070193,0.0005410695,0.0004192633,0.0001939572,0.5895604,0.3354125,0.05114138],"genre_scores_gemma":[0.003913091,0.0003765509,0.03035324,0.0005044822,0.00009906702,0.0005088891,0.8727133,0.06732532,0.02420617],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6808665,"threshold_uncertainty_score":0.9711733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008046245159344564,"score_gpt":0.1834190133784585,"score_spread":0.1753727682191139,"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."}}