{"id":"W4378881902","doi":"10.2196/preprints.43548","title":"Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"","keywords":"Context (archaeology); Social media; Advertising; Appeal; Psychological intervention; Cancer; Medicine; Business; Political science; World Wide Web; Internal medicine; Computer science; Nursing","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":[0.004250726,0.0002686969,0.0003608373,0.007418163,0.0007508883,0.002568299,0.0002944146,0.0003821912,0.008256017],"category_scores_gemma":[0.02725722,0.0002143726,0.001023675,0.009024832,0.0005036591,0.00168498,0.001146535,0.0005052063,0.001302219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661359,"about_ca_system_score_gemma":0.001593829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004010141,"about_ca_topic_score_gemma":0.005301674,"domain_scores_codex":[0.9972,0.001268938,0.000358294,0.0002232009,0.0008025386,0.0001469942],"domain_scores_gemma":[0.9453666,0.04259184,0.004816075,0.001229713,0.005608123,0.0003876922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001433701,0.0008412877,0.5004199,0.01117804,0.001035703,0.0004171967,0.05329177,0.0008822898,0.003909811,0.004832021,0.06161739,0.3601409],"study_design_scores_gemma":[0.00009050828,0.0003783784,0.8776416,0.002628476,0.0007610802,0.0002395343,0.04809998,0.004538356,0.002281912,0.001458726,0.06178183,0.00009966048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316692,0.002049713,0.004227452,0.001825647,0.0002096653,0.003578597,0.0382385,0.000234761,0.01796645],"genre_scores_gemma":[0.9311075,0.003074762,0.01908911,0.001050766,0.0005441649,0.007141969,0.02671332,0.0002413685,0.01103696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008256017,"threshold_uncertainty_score":0.02761912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.588131033348329,"score_gpt":0.4565099176857245,"score_spread":0.1316211156626045,"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."}}