{"id":"W4402244045","doi":"10.34190/eckm.25.1.2715","title":"Examining Misinformation and Deep Fakes","year":2024,"lang":"en","type":"article","venue":"European Conference on Knowledge Management","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Misinformation; Internet privacy; Computer science; Computer security","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":[0.004095576,0.0003694604,0.0003213596,0.005429399,0.00261797,0.005199549,0.0003899998,0.001542458,0.003725716],"category_scores_gemma":[0.03193661,0.000248174,0.0002750315,0.003195825,0.00364934,0.006702511,0.003151754,0.001308695,0.0003773628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875433,"about_ca_system_score_gemma":0.00199549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002389879,"about_ca_topic_score_gemma":0.003680754,"domain_scores_codex":[0.9963285,0.001602408,0.0003168811,0.0002383262,0.001044338,0.0004694808],"domain_scores_gemma":[0.9385711,0.03925259,0.0144742,0.002644401,0.0041167,0.0009409186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003629748,0.0003236092,0.4794159,0.001951335,0.0001416909,0.002645755,0.2406727,0.0009812532,0.002698598,0.09265953,0.003621537,0.1745252],"study_design_scores_gemma":[0.0000191975,0.0005109034,0.46882,0.003018598,0.0002358619,0.004445385,0.4083968,0.0034864,0.006667966,0.03481023,0.0694748,0.0001138606],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455028,0.002746299,0.003591867,0.003707299,0.00007493035,0.0001356807,0.000168806,0.00001187787,0.04406044],"genre_scores_gemma":[0.9945717,0.001306802,0.001517923,0.0002423277,0.00002851768,0.00003235522,0.00004693643,0.000004532871,0.002248807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005429399,"threshold_uncertainty_score":0.02165967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08768231699100991,"score_gpt":0.3270320502399055,"score_spread":0.2393497332488956,"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."}}