{"id":"W7084113940","doi":"10.24963/ijcai.2024/1273","title":"Aletheia: Detect, Discuss, and Stay Informed on Fake News","year":2024,"lang":"en","type":"article","venue":"","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Fake news; Key (lock); Focus (optics); Social media; Disinformation; Dependency (UML); False accusation; Perspective (graphical)","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":[0.002244245,0.001629359,0.0008063125,0.001958659,0.0004924428,0.002219853,0.001243879,0.001421207,0.0121448],"category_scores_gemma":[0.01253401,0.0005236878,0.0007086158,0.0004572994,0.0004554941,0.004462674,0.003102804,0.001334325,0.00747124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917553,"about_ca_system_score_gemma":0.0008458566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008119046,"about_ca_topic_score_gemma":0.001620479,"domain_scores_codex":[0.9991543,0.0003748145,0.0000502035,0.0001575157,0.0001756641,0.00008745374],"domain_scores_gemma":[0.9911965,0.00542537,0.0005789489,0.001621456,0.0006427572,0.0005349493],"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":[0.003769666,0.001424336,0.0216135,0.001725437,0.0002620821,0.001710567,0.005293667,0.004947967,0.04074127,0.01100565,0.1627751,0.7447307],"study_design_scores_gemma":[0.001033811,0.001683914,0.02117466,0.0007220749,0.000515372,0.004425101,0.00295874,0.4069599,0.125577,0.0452319,0.3890609,0.0006567708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1846693,0.002818403,0.4236686,0.002224222,0.0005817379,0.001279009,0.01134963,0.3496687,0.02374034],"genre_scores_gemma":[0.464395,0.00110754,0.4893198,0.001374935,0.0003809541,0.0008034511,0.01369201,0.004714367,0.0242119],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0121448,"threshold_uncertainty_score":0.04062843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408770058453284,"score_gpt":0.2712624744680061,"score_spread":0.2571747738834732,"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."}}