{"id":"W6958927511","doi":"10.6084/m9.figshare.25817603","title":"Was it all worth it? A graduating resident perspective on CBME","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Flexibility (engineering); Specialty; Accountability; Qualitative research; Institution","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005152063,0.000262484,0.0003201801,0.0004301793,0.0118064,0.003074886,0.001520651,0.001821464,0.00435884],"category_scores_gemma":[0.007649023,0.0002676504,0.0003495176,0.0007240626,0.007447985,0.002244583,0.005287412,0.004497419,0.0004860742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008515666,"about_ca_system_score_gemma":0.02047635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09967372,"about_ca_topic_score_gemma":0.2709388,"domain_scores_codex":[0.9969772,0.001135464,0.00008178899,0.0001539975,0.000518176,0.001133435],"domain_scores_gemma":[0.9928469,0.000728521,0.0003621605,0.0001428039,0.001644006,0.004275637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006393748,0.000328308,0.02692926,0.0003140748,0.00001576105,0.005106235,0.8699787,0.0002189676,0.002962986,0.00587022,0.03240018,0.05581137],"study_design_scores_gemma":[0.00000424324,0.000187531,0.01043921,0.0002629512,0.000008624304,0.001116212,0.9403314,0.00007706547,0.0007781907,0.0006714092,0.04607795,0.00004525151],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980276,0.002181079,0.002002013,0.08208753,0.0008856436,0.00005426084,0.00009886747,0.00009107489,0.01457184],"genre_scores_gemma":[0.9707608,0.002424389,0.002178703,0.01509385,0.000172909,0.00003195491,0.00004354837,0.00004727325,0.009246708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09967372,"threshold_uncertainty_score":0.1981871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946033311293318,"score_gpt":0.3680019296221632,"score_spread":0.2985415965092301,"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."}}