{"id":"W4255541733","doi":"10.1017/cem.2019.418","title":"What's in a name?","year":2019,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Medicine; Content (measure theory); World Wide Web; Information retrieval; Computer science","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":[0.003644091,0.0009398789,0.001492874,0.001579077,0.01598546,0.009658574,0.001972848,0.08357684,0.02116716],"category_scores_gemma":[0.02753418,0.0008634877,0.001365786,0.001492537,0.005204265,0.005818349,0.002950476,0.06015417,0.008871062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01760495,"about_ca_system_score_gemma":0.02495705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1105373,"about_ca_topic_score_gemma":0.1850006,"domain_scores_codex":[0.995619,0.0007762177,0.0004721326,0.0004475293,0.00122603,0.00145902],"domain_scores_gemma":[0.9891391,0.002754268,0.000729242,0.0001821414,0.002526402,0.004668838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000286993,0.00002560915,0.0008155182,0.00003634896,0.00001199789,0.005677695,0.0004309623,0.00003945074,0.00004952235,0.004816695,0.9847664,0.003301079],"study_design_scores_gemma":[0.0001019099,0.00003549661,0.001895188,0.0008462306,0.00004567484,0.008977568,0.004567702,0.0003939095,0.0000869883,0.01490279,0.9680346,0.0001119841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003453723,0.0006379565,0.00003373899,0.9750673,0.017454,0.000007590489,0.00002474962,0.000007157822,0.006422084],"genre_scores_gemma":[0.004701607,0.0009289866,0.000107029,0.949549,0.02337282,0.00001880197,0.00001883952,0.00002451224,0.02127835],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1105373,"threshold_uncertainty_score":0.2197878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118426880194767,"score_gpt":0.3408529535667257,"score_spread":0.2224260733719587,"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."}}