{"id":"W2924020538","doi":"10.1111/medu.13853","title":"Learner‐generated podcasts: ‘The Intern at Work’ series","year":2019,"lang":"en","type":"article","venue":"Medical Education","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Wilson Centre","funders":"","keywords":"Las vegas; Suite; Library science; Citation; Computer science; History; Archaeology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005699417,0.00008332505,0.0001061923,0.0000373722,0.0001748187,0.0001061878,0.0003079736,0.0001246564,0.004261681],"category_scores_gemma":[0.001820292,0.00005918516,0.00004420423,0.0003098424,0.0003696592,0.0002489018,0.00004674183,0.0001673366,0.001719282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779297,"about_ca_system_score_gemma":0.001131419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006148584,"about_ca_topic_score_gemma":0.001158544,"domain_scores_codex":[0.998582,0.000150815,0.0001743782,0.0001848449,0.0006492512,0.0002586945],"domain_scores_gemma":[0.9993397,0.0001234296,0.0000599991,0.0001852193,0.00008116788,0.0002104923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005734883,0.0002560259,0.04064759,0.00001892677,0.00002156532,0.000003192581,0.03526255,0.000002254301,0.00003702026,0.01294284,0.4593526,0.451398],"study_design_scores_gemma":[0.0001101553,0.00003183056,0.003669136,0.00005292559,0.000005337489,0.000005403424,0.00615753,0.00002193159,0.00003351969,0.0003769232,0.9894359,0.00009945459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7995648,0.0004612015,0.00001021972,0.04304837,0.005601724,0.0002160562,9.1561e-7,0.00007134844,0.1510254],"genre_scores_gemma":[0.8745248,0.0001155486,0.00002486338,0.003325818,0.001320051,0.00002577903,0.00002443195,0.000009884953,0.1206289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5300832,"threshold_uncertainty_score":0.999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118572303854176,"score_gpt":0.3012578813798355,"score_spread":0.2894006509944179,"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."}}