{"id":"W4360996764","doi":"10.2196/43548","title":"Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Context (archaeology); Social media; Appeal; Advertising; Psychological intervention; Cancer; Medicine; Family medicine; Business; Political science; Nursing; World Wide Web; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008828574,0.0001393317,0.0005061586,0.0002841156,0.0005174731,0.00001827109,0.0001395609,0.0002286601,0.00007368266],"category_scores_gemma":[0.001733606,0.000115932,0.0001476965,0.0008598509,0.0004011733,0.0001297979,0.0000491245,0.0001762382,0.00002258687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003823964,"about_ca_system_score_gemma":0.0001719031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008455328,"about_ca_topic_score_gemma":0.007050754,"domain_scores_codex":[0.9983791,0.0002977936,0.0003176264,0.0003095631,0.0002515792,0.0004443749],"domain_scores_gemma":[0.9959393,0.003534751,0.0002259618,0.00008609809,0.00006683099,0.000147087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008282036,0.000087225,0.4728713,0.00002099604,0.00345238,0.000003314352,0.4296211,0.0002035629,0.000008685507,0.02328017,0.0004816789,0.06988674],"study_design_scores_gemma":[0.0003813393,0.00004615791,0.9729002,0.000007295041,0.001194193,1.262661e-7,0.01690709,0.000922131,0.00001674275,0.006246217,0.001197015,0.0001814683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919765,0.0002145477,0.00001429885,0.005041598,0.001234522,0.0007382766,0.00002663195,0.0001122225,0.0006414037],"genre_scores_gemma":[0.995057,0.0005564856,0.00007613336,0.0003774185,0.0007339838,0.003091934,0.00003976352,0.000009263386,0.00005797064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.500029,"threshold_uncertainty_score":0.9981474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6839144682296185,"score_gpt":0.5022190110647964,"score_spread":0.1816954571648222,"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."}}