{"id":"W4283395768","doi":"10.1097/01.hs9.0000849792.13840.5e","title":"P1734: LESSONS FROM HIV- HAEMOPHILIA CRISIS AND CURRICULAR LEARNING IN POST COVID TIMES","year":2022,"lang":"en","type":"article","venue":"HemaSphere","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haemophilia; Context (archaeology); Medical education; Curriculum; Psychology; Medicine; Pandemic; Family medicine; Coronavirus disease 2019 (COVID-19); Pediatrics; Pedagogy; History","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006288631,0.0001385059,0.0002538814,0.00005854075,0.001784004,0.00001160909,0.0002928807,0.0001195524,0.009586735],"category_scores_gemma":[0.0003101861,0.0001440509,0.00004772547,0.0002215444,0.00003529626,0.00005816883,0.0006180797,0.001767649,0.0002025014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002456307,"about_ca_system_score_gemma":0.0002811815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006826827,"about_ca_topic_score_gemma":0.0008157705,"domain_scores_codex":[0.9968075,0.00182688,0.0004423378,0.0003268203,0.0002200354,0.0003764756],"domain_scores_gemma":[0.9983402,0.0007787936,0.0001862139,0.000474078,0.00009442333,0.000126284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001971608,0.0001753684,0.8110965,0.0004077745,0.00005303436,0.00006167546,0.07660774,0.000749941,0.0001376328,0.01215438,0.09244376,0.005915022],"study_design_scores_gemma":[0.001752374,0.000234386,0.05092597,0.000762725,0.00004314176,0.00001573948,0.5034785,0.005186498,0.00002514373,0.006802563,0.4301291,0.0006439298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9296788,0.005403843,0.00007364954,0.04309477,0.0004507923,0.0005939148,0.0001673911,0.0002801437,0.02025671],"genre_scores_gemma":[0.9910672,0.0001468885,0.0004801723,0.004058967,0.00007801448,0.0003713114,0.0001661396,0.000032481,0.003598766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7601705,"threshold_uncertainty_score":0.9997868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04389367298885071,"score_gpt":0.4027991300071935,"score_spread":0.3589054570183428,"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."}}