{"id":"W4313471815","doi":"10.3390/ijerph20010675","title":"Doctors in Medical Data Sciences: A New Curriculum","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Agence Nationale de la Recherche","keywords":"Curriculum; Medical education; MEDLINE; Data science; Medicine; Psychology; Computer science; Political science; Pedagogy","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":[0.0160805,0.0006009237,0.0008004024,0.002406583,0.004916983,0.01004065,0.001623715,0.00858447,0.0114572],"category_scores_gemma":[0.01487353,0.0006931564,0.0007137388,0.001237423,0.01360546,0.01277612,0.01170109,0.020534,0.003531984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007638277,"about_ca_system_score_gemma":0.02507153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002466497,"about_ca_topic_score_gemma":0.00538103,"domain_scores_codex":[0.9930968,0.002253744,0.000497716,0.0009099319,0.002237531,0.001004326],"domain_scores_gemma":[0.9742502,0.006073222,0.001256706,0.001218688,0.003326188,0.01387494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005744574,0.0006000432,0.003862181,0.001098239,0.00001372076,0.0004070443,0.01604515,0.0004899463,0.001990851,0.3922297,0.3812876,0.2019181],"study_design_scores_gemma":[0.00002865364,0.00013171,0.002170635,0.0009974252,0.000007132481,0.0005429978,0.005581655,0.0003733988,0.0002024682,0.0879289,0.9020075,0.00002757113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.003550938,0.01720683,0.00683085,0.9381858,0.01307584,0.00007296451,0.00006106823,0.00006878236,0.02094697],"genre_scores_gemma":[0.1515507,0.06724475,0.04392993,0.6192305,0.03929203,0.0003235083,0.0002799032,0.000201292,0.0779474],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0160805,"threshold_uncertainty_score":0.08504283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4827808500775336,"score_gpt":0.5706718676697924,"score_spread":0.08789101759225876,"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."}}