{"id":"W3092726725","doi":"","title":"Medical Degree students' use of information: From writing and citing to evidence assessment","year":2019,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rubric; Class (philosophy); Test (biology); Information literacy; Mathematics education; Computer science; Control (management); Medical education; Psychology; Pedagogy; Medicine; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01185464,0.0003824536,0.0006717886,0.003670311,0.0005963734,0.00318232,0.0008198177,0.000723599,0.00374245],"category_scores_gemma":[0.06892805,0.0002707026,0.0006572789,0.001618487,0.0008849313,0.001423851,0.002376471,0.0007824565,0.001263353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006438562,"about_ca_system_score_gemma":0.00156958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004197547,"about_ca_topic_score_gemma":0.0006702492,"domain_scores_codex":[0.9888546,0.003180669,0.001721682,0.0006578643,0.005082421,0.0005028203],"domain_scores_gemma":[0.9362509,0.02736971,0.02212394,0.002529474,0.008344867,0.003381033],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006357739,0.001632606,0.7148908,0.00114091,0.0001658481,0.0003928237,0.01555969,0.0001436337,0.003516787,0.0001758954,0.001295258,0.2604498],"study_design_scores_gemma":[0.00007300903,0.004169609,0.9660135,0.0007181363,0.0002211629,0.001686238,0.009845759,0.0005813391,0.009635016,0.0005704659,0.006417349,0.00006840542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949648,0.0006972397,0.0006686904,0.0003064897,0.00002345712,0.0001115297,0.00007421324,0.00002848681,0.003125139],"genre_scores_gemma":[0.9953055,0.0007348841,0.002019487,0.0001153655,0.00003772111,0.0001077619,0.0001206603,0.00001082109,0.00154776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9881454,"threshold_uncertainty_score":0.06269407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1861057497908599,"score_gpt":0.4390651481875706,"score_spread":0.2529593983967107,"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."}}