{"id":"W4400370830","doi":"10.1016/j.gore.2024.101451","title":"#HashtagThis – Everything you need to know about launching your gynecologic oncology social media research career: A report from Gynecologic Oncology Reports and Society of Gynecologic Oncology Education Committee","year":2024,"lang":"en","type":"article","venue":"Gynecologic Oncology Reports","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Cancer Institute","keywords":"Gynecologic oncology; Social media; Medicine; Promotion (chess); Internal medicine; Oncology; Medical education; Clinical Oncology; Public relations; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.0407377,0.001424229,0.004477479,0.001756351,0.004481299,0.0003739634,0.001586723,0.007939793,0.002954121],"category_scores_gemma":[0.1152223,0.001435586,0.001011052,0.004367542,0.005161094,0.001022478,0.001810619,0.005828418,0.0001924646],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02554817,"about_ca_system_score_gemma":0.04993314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01566373,"about_ca_topic_score_gemma":0.03962189,"domain_scores_codex":[0.9711151,0.0111657,0.006366009,0.004513169,0.002579675,0.004260357],"domain_scores_gemma":[0.9139854,0.07345967,0.005071084,0.001843226,0.003708485,0.00193217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002039622,0.004651623,0.105073,0.0005112753,0.0007368273,0.01674941,0.1956565,0.00005942513,0.001809226,0.002194545,0.2538273,0.4185269],"study_design_scores_gemma":[0.0008161532,0.003416919,0.1203575,0.0001912177,0.0005772506,0.001936223,0.08404665,0.0000488998,0.0001020291,0.0187455,0.7687559,0.00100572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8036088,0.007659275,0.00008129308,0.06048545,0.06528986,0.008751332,0.0000895831,0.001148407,0.05288601],"genre_scores_gemma":[0.9552586,0.004785642,0.01572134,0.004782292,0.007136789,0.00963404,0.0007523196,0.0002238543,0.00170514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5149286,"threshold_uncertainty_score":0.9998507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1481767737201703,"score_gpt":0.4660658347112993,"score_spread":0.317889060991129,"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."}}