{"id":"W3012377933","doi":"10.1136/bmj.m954","title":"Writing to patients can cause upset","year":2020,"lang":"en","type":"letter","venue":"BMJ","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Upset; Computer science; Data science; World Wide Web; Medicine; Information retrieval; Political science; Law","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":[0.007085044,0.001214946,0.0008376145,0.001002549,0.01235177,0.006658544,0.001394321,0.0218784,0.05384362],"category_scores_gemma":[0.1014039,0.0005966318,0.001362432,0.0008884664,0.006043866,0.007611627,0.006628479,0.02738351,0.03088369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004234417,"about_ca_system_score_gemma":0.005246224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883274,"about_ca_topic_score_gemma":0.008913106,"domain_scores_codex":[0.9854138,0.005818966,0.0009585316,0.0008147308,0.005311264,0.001682593],"domain_scores_gemma":[0.9484057,0.02514865,0.004172283,0.002951011,0.009125494,0.01019677],"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":[0.00001681335,0.00001827939,0.000256071,0.00005306308,0.000005201092,0.002086938,0.0009666398,0.00001332803,0.00007065708,0.002036399,0.9854878,0.008988812],"study_design_scores_gemma":[0.00002441763,0.00003914901,0.0004938308,0.0007009363,0.00000574603,0.006466575,0.003538219,0.0000544122,0.00006862413,0.007045473,0.9815266,0.00003604978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009617076,0.003692562,0.0002808994,0.9094552,0.04322645,0.00002438213,0.00003950144,0.0001493027,0.04216992],"genre_scores_gemma":[0.01555432,0.004090177,0.0004648831,0.897734,0.03240337,0.00005570309,0.00004933759,0.0001786336,0.04946959],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05384362,"threshold_uncertainty_score":0.1801248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03889964931436802,"score_gpt":0.2782812954786212,"score_spread":0.2393816461642532,"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."}}