{"id":"W6894335588","doi":"10.5683/sp2/vpysis","title":"COVID-19 Fact-checked Claims Dataset","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Python (programming language); Resource (disambiguation); Scripting language; Information system","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":[0.001711496,0.001698477,0.000972254,0.00757257,0.001134389,0.002395528,0.002084335,0.002399238,0.01931123],"category_scores_gemma":[0.008870252,0.0004106655,0.001226342,0.007060231,0.0004933867,0.001608845,0.002231792,0.001600797,0.03029674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236106,"about_ca_system_score_gemma":0.002886485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03344436,"about_ca_topic_score_gemma":0.05593242,"domain_scores_codex":[0.9974563,0.0003955556,0.0003789375,0.0005915907,0.0008189305,0.0003587079],"domain_scores_gemma":[0.9956205,0.001062106,0.0006887302,0.0008085468,0.001336271,0.0004837015],"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":[0.0001266735,0.00008719837,0.007317503,0.0007207663,0.0000497057,0.0001328252,0.00007833463,0.0004725465,0.000335562,0.0007229034,0.9843975,0.005558372],"study_design_scores_gemma":[0.0001694713,0.00009571898,0.04101565,0.0005940978,0.00006785098,0.0005018805,0.0005016689,0.002519424,0.001051986,0.001033335,0.9523542,0.00009466962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001896816,0.0002425268,0.0001371401,0.0002153668,0.00007792901,0.00003595432,0.9951897,0.0004150148,0.001789547],"genre_scores_gemma":[0.001958307,0.00006872563,0.0003485454,0.00008752674,0.00002224795,0.00005931315,0.996717,0.00003023038,0.0007080987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03344436,"threshold_uncertainty_score":0.06649935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07153291442991055,"score_gpt":0.3458272310221605,"score_spread":0.27429431659225,"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."}}