{"id":"W2904504342","doi":"10.1186/s41077-018-0087-0","title":"Another debriefing course! Who benefits?","year":2018,"lang":"en","type":"article","venue":"Advances in Simulation","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Michener Institute; University Health Network","funders":"","keywords":"Debriefing; Health services research; Course (navigation); Medicine; Nursing; Medical education; Psychology; Public health; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001678051,0.0001140399,0.0001712531,0.0001329623,0.00009830866,0.00001237553,0.00005127959,0.00008882053,0.0003977209],"category_scores_gemma":[0.0001392173,0.0001164518,0.00003111993,0.0004073494,0.0000794268,0.0003916026,0.000009724492,0.0001113467,0.00008232104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161888,"about_ca_system_score_gemma":0.0001206715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004810877,"about_ca_topic_score_gemma":0.00009127611,"domain_scores_codex":[0.9989058,0.00003736137,0.0003326427,0.0002633718,0.0002414881,0.0002192931],"domain_scores_gemma":[0.9987793,0.0003769116,0.0001120712,0.0002869386,0.0003828833,0.00006192506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009418871,0.00005840668,0.7347444,0.00004697747,0.000004451563,9.214323e-7,0.001126939,0.225965,0.00001579626,0.0008246028,0.00004976275,0.0370685],"study_design_scores_gemma":[0.001404436,0.0001975159,0.7163114,0.0004002489,0.00002280242,0.000003600916,0.0003982858,0.2651013,0.0005753855,0.001530611,0.01385492,0.0001994688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807979,0.003725918,0.006618289,0.00178355,0.0008565419,0.0006244407,0.000005173744,0.000135551,0.005452611],"genre_scores_gemma":[0.9953858,0.00006127523,0.001738941,0.001854656,0.0006803295,0.00002003345,0.00003097191,0.00002841974,0.0001995425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03913632,"threshold_uncertainty_score":0.4748769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349512961492312,"score_gpt":0.4099576456791864,"score_spread":0.3764625160642632,"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."}}