{"id":"W2808093544","doi":"10.1145/3220127.3220132","title":"Near Field Communication-Based System For Bedside Contraindication Verification","year":2018,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Contraindication; Usability; Medicine; Psychological intervention; Strengths and weaknesses; Context (archaeology); Computer science; Pharmacist; Medical emergency; Nursing; Human–computer interaction; Pharmacy; Psychology; Alternative medicine","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":[0.003504792,0.0004730127,0.0004677597,0.001298861,0.0007531048,0.001027891,0.00135525,0.001051521,0.008299707],"category_scores_gemma":[0.01019959,0.0003123489,0.0003267347,0.0006284494,0.0002663395,0.001926694,0.001266849,0.0006814896,0.002559416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889665,"about_ca_system_score_gemma":0.001292111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613771,"about_ca_topic_score_gemma":0.001313287,"domain_scores_codex":[0.9974808,0.001142971,0.000315426,0.0004025905,0.0005449444,0.0001132274],"domain_scores_gemma":[0.9900749,0.005608575,0.0007895653,0.001052636,0.001959964,0.0005142658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001842727,0.001918798,0.02336061,0.001400551,0.0001362362,0.00132944,0.005124157,0.003815366,0.05008989,0.00444383,0.03950571,0.8670328],"study_design_scores_gemma":[0.001738825,0.01103187,0.1286668,0.002133626,0.001167891,0.0105731,0.006583964,0.325953,0.1581821,0.01123837,0.3414905,0.001239961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3005079,0.001967469,0.6132769,0.002649099,0.0005418473,0.004049376,0.001911137,0.05110277,0.02399338],"genre_scores_gemma":[0.6602293,0.0005156733,0.3281622,0.0009800949,0.0001697101,0.001098526,0.0009856067,0.0002726843,0.007586208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008299707,"threshold_uncertainty_score":0.02776527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331293086810681,"score_gpt":0.4552160998080431,"score_spread":0.3919031689399363,"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."}}