{"id":"W4328029220","doi":"10.2196/43609","title":"Scanxiety Conversations on Twitter: Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Demographics; Observational study; Theme (computing); Conversation; Thematic analysis; Psychology; Medicine; Computer science; Qualitative research; World Wide Web; Demography; Sociology; Communication; Pathology","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":[0.002339493,0.0002815188,0.0005842989,0.001497663,0.001993022,0.001577406,0.0005919571,0.0007240301,0.003044665],"category_scores_gemma":[0.01472346,0.0005192799,0.0004403499,0.001846424,0.0007988749,0.002657559,0.00278709,0.001247324,0.001117331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240889,"about_ca_system_score_gemma":0.001342161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008325631,"about_ca_topic_score_gemma":0.01154941,"domain_scores_codex":[0.9980476,0.0008286055,0.0002926428,0.0002353753,0.0002963065,0.000299522],"domain_scores_gemma":[0.9919269,0.003186967,0.002665623,0.0003742104,0.001112505,0.0007338361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004062536,0.0004596616,0.8492928,0.00102826,0.00007620986,0.0009473816,0.1281894,0.00005627718,0.0007246329,0.0002993353,0.003867269,0.01465255],"study_design_scores_gemma":[0.00006867822,0.0006242228,0.7376896,0.0008841566,0.0001022968,0.001435776,0.2461214,0.0007132204,0.0004780202,0.0003211581,0.01146085,0.000100696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967883,0.0002110418,0.0001803338,0.0002156165,0.00001246929,0.0001959514,0.001256923,0.000008063821,0.0011313],"genre_scores_gemma":[0.996341,0.0005449269,0.0005014804,0.0003511683,0.00003447192,0.000701958,0.001079062,0.00001343433,0.0004324345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008325631,"threshold_uncertainty_score":0.01655436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1767269507292611,"score_gpt":0.4131818187377625,"score_spread":0.2364548680085014,"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."}}