{"id":"W3201374360","doi":"10.2196/30607","title":"Using Instagram to Enhance a Hematology and Oncology Teaching Module During the COVID-19 Pandemic: Cross-sectional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical education; Curriculum; Coronavirus disease 2019 (COVID-19); Pandemic; Higher education; Internal medicine; Medicine; Oncology; Psychology; Family medicine; Disease; Pedagogy; Political science","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.002803047,0.00009294238,0.0001756784,0.00008306288,0.001641309,0.00008720226,0.0002069185,0.0002566442,0.0003397895],"category_scores_gemma":[0.03480598,0.00008487528,0.00002755977,0.0004031681,0.0003395299,0.0001414922,0.00008458032,0.0005320471,0.00001214902],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625066,"about_ca_system_score_gemma":0.0123986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008709897,"about_ca_topic_score_gemma":0.009629068,"domain_scores_codex":[0.9968692,0.001374424,0.0003862554,0.0003817525,0.0006555503,0.0003328201],"domain_scores_gemma":[0.9968716,0.0019029,0.0001462759,0.0001766759,0.0001920578,0.0007104739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001624514,0.0006040781,0.8849096,0.00003872538,0.000008157138,0.000002874785,0.09699982,0.000004018272,0.00004673771,0.002641854,0.0001840765,0.01454384],"study_design_scores_gemma":[0.0003091994,0.00006685062,0.8582455,0.00002667774,0.00001029264,0.0001055376,0.05449256,0.00004019435,0.00001286044,0.001072901,0.08546557,0.0001518395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969772,0.0001753073,0.0002030167,0.02274803,0.005169209,0.001389912,9.869423e-7,0.00006463908,0.0004768611],"genre_scores_gemma":[0.9914576,0.00003525916,0.0005438764,0.004428066,0.001927672,0.001456736,0.000005420233,0.0000100615,0.0001352642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08528149,"threshold_uncertainty_score":0.9996584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1389568406544679,"score_gpt":0.5646598304630918,"score_spread":0.4257029898086239,"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."}}