{"id":"W4285332497","doi":"10.2196/34940","title":"Skin Cancer Narratives on Instagram: Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Skin cancer; Popularity; Social media; Cancer; Population; Narrative; Medicine; Modalities; Cancer prevention; Internet privacy; Psychology; Environmental health; Computer science; World Wide Web; Sociology; Social psychology; Social science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004287803,0.0004260888,0.0003226788,0.005344695,0.001767637,0.00217661,0.0006134526,0.0005349913,0.00466569],"category_scores_gemma":[0.01878226,0.0002348992,0.0003471364,0.005312009,0.001486069,0.002582344,0.003273281,0.0008195094,0.0007973277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002853192,"about_ca_system_score_gemma":0.002264725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003513575,"about_ca_topic_score_gemma":0.007606866,"domain_scores_codex":[0.9972588,0.001531036,0.0002234696,0.0002446076,0.0005070958,0.000234918],"domain_scores_gemma":[0.9815076,0.01447109,0.001166076,0.0004587018,0.002052192,0.0003444024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001846342,0.0001626327,0.02624683,0.001697483,0.00001754575,0.001078828,0.8646985,0.0002411527,0.006374403,0.00390135,0.008866777,0.08652981],"study_design_scores_gemma":[0.00002296184,0.0001387133,0.07141632,0.001319892,0.00006099436,0.0007186971,0.7978172,0.002838152,0.00641516,0.002190255,0.1169805,0.00008122253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609578,0.0005091598,0.006985827,0.0012501,0.000101883,0.002253516,0.005415335,0.0001151423,0.02241134],"genre_scores_gemma":[0.9463315,0.001327765,0.03274817,0.0005033734,0.0001150251,0.005105822,0.004720263,0.0001862551,0.008961715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005344695,"threshold_uncertainty_score":0.02267635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3066671788350459,"score_gpt":0.5025227148394134,"score_spread":0.1958555360043674,"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."}}