{"id":"W4412888901","doi":"10.18653/v1/2025.fever-1.19","title":"SANCTUARY: An Efficient Evidence-based Automated Fact Checking System","year":2025,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00347543,0.001165939,0.001057386,0.005338922,0.001168065,0.003458337,0.002659173,0.001860915,0.0125057],"category_scores_gemma":[0.03283213,0.0006955429,0.001408865,0.001759125,0.0007210373,0.006754126,0.004382488,0.00184589,0.007276835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119388,"about_ca_system_score_gemma":0.004119056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007381315,"about_ca_topic_score_gemma":0.01075796,"domain_scores_codex":[0.9970723,0.0007171566,0.0002951465,0.0006862744,0.001093043,0.0001360496],"domain_scores_gemma":[0.9846503,0.009361329,0.0009678119,0.002121758,0.002530642,0.0003682867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001420199,0.0003870584,0.007932351,0.001653281,0.0003171718,0.002150062,0.001096016,0.01863093,0.01753179,0.03439315,0.2687535,0.6457345],"study_design_scores_gemma":[0.0004772477,0.0002864879,0.003363844,0.00047942,0.0003404119,0.001643236,0.0006397154,0.7030589,0.03554482,0.07011306,0.1838145,0.0002382707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03989901,0.003015946,0.6338018,0.004356254,0.0007392116,0.001001878,0.02694988,0.27634,0.01389601],"genre_scores_gemma":[0.227087,0.001091522,0.7012688,0.001408448,0.0004399618,0.0004263385,0.0562828,0.00369849,0.008296642],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0125057,"threshold_uncertainty_score":0.04183567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04386299318024332,"score_gpt":0.2970264958567863,"score_spread":0.253163502676543,"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."}}