{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007291815,0.0003733334,0.0004409569,0.01303276,0.0007670957,0.002277509,0.0004638817,0.0004056024,0.003596573],"category_scores_gemma":[0.03209678,0.0002964994,0.001079669,0.008925667,0.0006984084,0.002030712,0.001452072,0.0005617705,0.0006242272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009998,"about_ca_system_score_gemma":0.001701512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518164,"about_ca_topic_score_gemma":0.004874409,"domain_scores_codex":[0.9949297,0.002452199,0.00065784,0.0003820646,0.001335532,0.0002428758],"domain_scores_gemma":[0.9423793,0.04364508,0.006515107,0.001434953,0.005572411,0.0004532043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00140853,0.0009017645,0.55582,0.009157063,0.0007609658,0.0005197476,0.04334718,0.001000987,0.00474673,0.004673626,0.0113438,0.3663197],"study_design_scores_gemma":[0.0001345074,0.0006514687,0.8940632,0.002589319,0.001367092,0.0006154221,0.03781436,0.01235969,0.004218228,0.002720663,0.04330546,0.000160596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612497,0.00138486,0.005116075,0.0005532907,0.00005650011,0.004814533,0.0133365,0.0001431236,0.01334546],"genre_scores_gemma":[0.9519011,0.001895295,0.02587878,0.00029759,0.0001862029,0.007328874,0.009302653,0.00009274652,0.003116553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303276,"threshold_uncertainty_score":0.03856325,"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."}}