{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008542468,0.00009033905,0.000134234,0.00008316027,0.00006942257,0.00001335027,0.00005377405,0.00003803857,0.001463981],"category_scores_gemma":[0.00001159554,0.00008016945,0.00006585175,0.000501362,0.00002378959,0.00003991996,0.00002193588,0.0001197377,0.0003055159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326656,"about_ca_system_score_gemma":0.0001754232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073819,"about_ca_topic_score_gemma":0.002185265,"domain_scores_codex":[0.9991508,0.00001934282,0.0001223139,0.0002090411,0.0003403145,0.0001582306],"domain_scores_gemma":[0.9995353,0.00003880134,0.00003129755,0.0002211563,0.00009630958,0.00007719501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001264869,0.0001471934,0.8501417,0.00003401392,0.00007754888,0.00001667152,0.00477395,0.00004794719,0.0001834932,0.000166989,0.1405483,0.003735713],"study_design_scores_gemma":[0.0009446013,0.0001714939,0.8753696,0.00004162622,0.00003184092,9.202011e-7,0.003019081,0.00008815676,0.0000810273,0.00003224706,0.1201333,0.0000861304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875664,0.0000395996,0.000003662924,0.006312764,0.0008202938,0.0006496898,0.00005540361,0.0001791889,0.004373046],"genre_scores_gemma":[0.9847305,0.00003386014,0.000003979585,0.003232303,0.0004663134,0.000810225,0.00007209688,0.00001833155,0.01063244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0252279,"threshold_uncertainty_score":0.9994488,"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."}}