{"id":"W4413532482","doi":"10.64628/aam.jvpdvr337","title":"Online wellness content: 3 ways to tell evidence-based health information from pseudoscience","year":2024,"lang":"en","type":"article","venue":"","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pseudoscience; Content (measure theory); Psychology; Internet privacy; Real world evidence; Computer science; Medicine; Alternative medicine; Mathematics; Internal medicine","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":[0.01259469,0.0008126287,0.0006799554,0.003372489,0.001383208,0.006932523,0.0009619018,0.003604293,0.0250175],"category_scores_gemma":[0.0650128,0.0005221457,0.0009947944,0.001308505,0.001563181,0.01039451,0.005177666,0.002537063,0.004633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050101,"about_ca_system_score_gemma":0.001698691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006632105,"about_ca_topic_score_gemma":0.001618808,"domain_scores_codex":[0.9897445,0.00623296,0.0008356787,0.0003529653,0.002477324,0.0003565025],"domain_scores_gemma":[0.9144236,0.07212349,0.003420873,0.003687595,0.004076992,0.002267358],"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":[0.003711706,0.002435847,0.01715716,0.004900922,0.0003166313,0.0002072319,0.01521921,0.0004660797,0.003818622,0.01660205,0.05840188,0.8767626],"study_design_scores_gemma":[0.005901706,0.01109539,0.07000452,0.01906524,0.003790387,0.001752515,0.06418687,0.02224329,0.03911311,0.1827336,0.5784838,0.001629631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.46115,0.009925024,0.1195862,0.086661,0.006256999,0.008909657,0.01047631,0.006939191,0.2900957],"genre_scores_gemma":[0.6447539,0.006068703,0.2896234,0.01364514,0.002090444,0.007959494,0.003810393,0.0007552341,0.03129321],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0250175,"threshold_uncertainty_score":0.0836919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3296449691022517,"score_gpt":0.4369103480566445,"score_spread":0.1072653789543929,"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."}}