{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001085928,0.00008807839,0.0002820245,0.0002243652,0.0009587184,0.00001053529,0.0002743389,0.0001042237,0.001590431],"category_scores_gemma":[0.00100922,0.00009052206,0.0001118543,0.001076944,0.0002861197,0.00005699708,0.00007126643,0.0003609066,0.00001814275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007881713,"about_ca_system_score_gemma":0.0005319205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127678,"about_ca_topic_score_gemma":0.006510261,"domain_scores_codex":[0.9975259,0.00127498,0.0003046115,0.0002448485,0.0002782437,0.0003714414],"domain_scores_gemma":[0.9979842,0.001397967,0.0002310443,0.0001649769,0.00009120651,0.0001306313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005117396,0.0001092516,0.6205209,0.000004577563,0.0001108686,9.318978e-7,0.3102105,0.001112676,0.00001283489,0.05842624,0.002067834,0.00737218],"study_design_scores_gemma":[0.0001777849,0.0001398128,0.5883982,0.000002524792,0.00003488715,1.362313e-7,0.06286874,0.0000640529,0.000004065309,0.002114502,0.3460469,0.0001483938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958588,0.000145225,0.00002283951,0.03274899,0.003169887,0.0009049479,0.00001670509,0.00007241577,0.004330987],"genre_scores_gemma":[0.986193,0.00007120719,0.0001105267,0.00456615,0.0004736037,0.008350719,0.00001738467,0.000006100233,0.0002113196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3439791,"threshold_uncertainty_score":0.9993222,"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."}}