{"id":"W4384282890","doi":"10.1213/ane.0000000000006279","title":"The FACES of the Future: Emojis in Perioperative Medicine","year":2023,"lang":"en","type":"article","venue":"Anesthesia & Analgesia","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Context (archaeology); Telemedicine; Emoji; Health care; Internet privacy; Medical education; Social media; World Wide Web","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":[0.00373855,0.0004489667,0.0002949501,0.0009598735,0.003041176,0.006560233,0.000804425,0.002782068,0.009641062],"category_scores_gemma":[0.008127668,0.0002567481,0.0004373621,0.0007907298,0.004758458,0.00731221,0.004746349,0.005149495,0.002726051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621501,"about_ca_system_score_gemma":0.001700672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159662,"about_ca_topic_score_gemma":0.004628165,"domain_scores_codex":[0.9973305,0.001788869,0.00009967408,0.0001243114,0.0004721746,0.0001845452],"domain_scores_gemma":[0.9949725,0.003641447,0.0002174165,0.0001565923,0.0004561029,0.0005560195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001324366,0.0000838694,0.003311052,0.001860464,0.00003314201,0.001226785,0.03149046,0.0001821042,0.001609561,0.07368407,0.2774114,0.6089748],"study_design_scores_gemma":[0.0000126785,0.00009467734,0.003305495,0.003541478,0.0000327013,0.002972264,0.01480725,0.000248353,0.0005792388,0.02865673,0.945688,0.0000610696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.028078,0.3302344,0.01896206,0.4132133,0.02704554,0.0001446694,0.0002988039,0.0005922719,0.1814309],"genre_scores_gemma":[0.3598624,0.3189045,0.02595105,0.1882273,0.03223676,0.0004360487,0.0003499502,0.0006296101,0.07340234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009641062,"threshold_uncertainty_score":0.03225255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115873297535453,"score_gpt":0.2521811384004919,"score_spread":0.2410224054251374,"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."}}