{"id":"W2778860771","doi":"","title":"Optimizing the role of the dermatology nurse","year":2017,"lang":"en","type":"dissertation","venue":"e-scholar@UOIT (University of Ontario Institute of Technology)","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dermatology","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":[0.003828406,0.0001311269,0.0001654673,0.0004031154,0.006003471,0.003369503,0.0009031051,0.0007596981,0.005053264],"category_scores_gemma":[0.007140645,0.0001291187,0.000158653,0.0003963484,0.001545901,0.001371103,0.003289657,0.001709848,0.0008562738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01118495,"about_ca_system_score_gemma":0.07638464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1764817,"about_ca_topic_score_gemma":0.4887649,"domain_scores_codex":[0.9954592,0.00180658,0.0001093862,0.0001765738,0.00101972,0.001428602],"domain_scores_gemma":[0.9847353,0.001301195,0.0006358458,0.0001891691,0.002958883,0.01017959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001611652,0.0009753497,0.08664659,0.001004417,0.00004171463,0.001523433,0.04879137,0.0004680043,0.003329665,0.01125223,0.221996,0.6238101],"study_design_scores_gemma":[0.00006790695,0.000506375,0.107558,0.002967413,0.00005004323,0.002152463,0.1976162,0.0005009513,0.001411264,0.005993934,0.6810951,0.00008036067],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4230969,0.02216374,0.004886498,0.2759494,0.004137596,0.0005881568,0.0002020578,0.0002160564,0.2687596],"genre_scores_gemma":[0.8960416,0.01447817,0.01048506,0.03522217,0.0003536583,0.0001434722,0.0001074557,0.00003960371,0.04312877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1764817,"threshold_uncertainty_score":0.3509089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334721069889661,"score_gpt":0.3121631229747642,"score_spread":0.2988159122758676,"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."}}