{"id":"W2952236163","doi":"10.1016/j.stemcr.2019.05.009","title":"How to Peddle Hope: An Analysis of YouTube Patient Testimonials of Unproven Stem Cell Treatments","year":2019,"lang":"en","type":"article","venue":"Stem Cell Reports","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Alberta","funders":"Stem Cell Network; Mayo Clinic","keywords":"Narrative; Stem cell; Narrative review; Marketing; Public relations; Nursing; Biology; Business; Medicine; Intensive care medicine; Political science; Literature","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003499326,0.0001588927,0.0006736291,0.0002758522,0.00002358103,0.0000127397,0.00005399425,0.0001885248,0.0000597507],"category_scores_gemma":[0.000008296776,0.0001117104,0.0002141815,0.0006235075,0.00007807236,0.00005996063,0.00004713251,0.00008914073,0.000004062703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007221876,"about_ca_system_score_gemma":0.0001549976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000385387,"about_ca_topic_score_gemma":0.00002925922,"domain_scores_codex":[0.9979722,0.0000541925,0.0006774492,0.0004014704,0.000707016,0.0001875975],"domain_scores_gemma":[0.9979815,0.00004683915,0.0006642051,0.0007415773,0.0003109887,0.0002549014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002958821,0.003124099,0.4260993,0.001630071,0.001519884,0.0004742708,0.008341594,0.001165331,0.4506326,0.0000468291,0.0002643174,0.1064058],"study_design_scores_gemma":[0.00214636,0.007517136,0.2543996,0.0004869087,0.006898445,0.00005170857,0.004405676,0.003622189,0.7153808,0.00009531221,0.004386414,0.0006094982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963336,0.0001901594,0.00009215408,0.0002787854,0.0002135351,0.0007404924,0.0000247721,0.00001879966,0.00210773],"genre_scores_gemma":[0.9897513,0.00001316924,0.0003473695,0.00004804889,0.00002484684,0.00001020973,0.00009657165,0.00001957044,0.009688884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2647482,"threshold_uncertainty_score":0.4555419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778503051407967,"score_gpt":0.2630882337589065,"score_spread":0.2453032032448268,"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."}}