{"id":"W3159150601","doi":"10.5220/0010463000002931","title":"e-Health for Older Adults: Navigating Misinformation","year":2021,"lang":"en","type":"article","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Misinformation; Computer science; Internet privacy; Psychology; 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":[0.006987376,0.0004737183,0.000558151,0.002508993,0.002891479,0.006783462,0.0008185262,0.003911316,0.01209756],"category_scores_gemma":[0.04165438,0.0003418827,0.0008052879,0.002093355,0.001551027,0.009624203,0.004931689,0.002446662,0.001447542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647634,"about_ca_system_score_gemma":0.004634168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008622931,"about_ca_topic_score_gemma":0.01518402,"domain_scores_codex":[0.9962577,0.002404837,0.0002708338,0.0001596031,0.0006032197,0.0003039334],"domain_scores_gemma":[0.9736486,0.01480302,0.004875795,0.0009238925,0.002802243,0.002946433],"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":[0.0004657355,0.001631426,0.2177329,0.003542146,0.0003398445,0.001682494,0.05826647,0.0002478125,0.0005128344,0.007009602,0.0760985,0.6324703],"study_design_scores_gemma":[0.0004305165,0.003369713,0.2964387,0.02719656,0.001934434,0.006054236,0.3062353,0.002182303,0.001554747,0.0623288,0.2919419,0.0003327408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5589244,0.07486352,0.002649135,0.2291563,0.002059703,0.0003619547,0.0009598174,0.0002504141,0.1307746],"genre_scores_gemma":[0.9160249,0.04457156,0.004455714,0.02452381,0.001282723,0.0001476582,0.0002809871,0.00003540091,0.008677091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01209756,"threshold_uncertainty_score":0.04047042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158623401140002,"score_gpt":0.368498232896716,"score_spread":0.346911998885316,"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."}}