{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005315451,0.0006697837,0.0003101282,0.001425178,0.001561858,0.003649164,0.001431086,0.002810478,0.02721968],"category_scores_gemma":[0.009471682,0.0001700267,0.0003458698,0.0006969934,0.001471288,0.002557739,0.004974085,0.005140762,0.005433567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113596,"about_ca_system_score_gemma":0.003014022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358826,"about_ca_topic_score_gemma":0.005004252,"domain_scores_codex":[0.9985843,0.0005367339,0.00006802417,0.0001324198,0.0004614703,0.0002170973],"domain_scores_gemma":[0.9917004,0.002703195,0.000394659,0.0004266565,0.001317903,0.003457248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009897754,0.0003223909,0.0005808142,0.0004964817,0.00001082638,0.0002570857,0.002529456,0.00009071851,0.0008128373,0.00494313,0.8062589,0.1835984],"study_design_scores_gemma":[0.00001892763,0.00009414924,0.001930987,0.0003035221,0.000005969837,0.0001814641,0.001173854,0.00004841057,0.0004137756,0.0005120331,0.9953043,0.00001266242],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.03590461,0.04482968,0.007903256,0.1661946,0.3739313,0.0009013913,0.002520082,0.00186504,0.36595],"genre_scores_gemma":[0.1556533,0.03395845,0.008891176,0.03394983,0.2211624,0.0008307024,0.003225676,0.001805202,0.5405232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02721968,"threshold_uncertainty_score":0.09105891,"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."}}