{"id":"W3016215061","doi":"10.2196/18914","title":"Desirable Features of an Interdisciplinary Handoff","year":2020,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Handover; Usability; Patient safety; Medical emergency; Medicine; Nursing; Computer science; Health care; Telecommunications; Human–computer interaction; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00248937,0.0004757555,0.0002573932,0.0005499885,0.0009673577,0.001741272,0.0005268985,0.001066918,0.003354159],"category_scores_gemma":[0.02175613,0.0002024218,0.0003937368,0.000307847,0.0003277908,0.001382053,0.001190338,0.0006530863,0.0008350548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154602,"about_ca_system_score_gemma":0.0005954326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004365385,"about_ca_topic_score_gemma":0.0008700237,"domain_scores_codex":[0.9975941,0.0008271168,0.0002941749,0.0001837454,0.0009291396,0.0001716694],"domain_scores_gemma":[0.9864719,0.004384703,0.002232654,0.001674987,0.003788915,0.001446722],"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":[0.002072495,0.002455506,0.1537044,0.002175997,0.0002075774,0.001967765,0.01386088,0.003673239,0.1646314,0.009024653,0.02745656,0.6187695],"study_design_scores_gemma":[0.0005550818,0.008426838,0.7679305,0.001158681,0.0006689925,0.007526149,0.01900634,0.03231498,0.0436787,0.01993024,0.09816457,0.000638884],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8631898,0.0004047064,0.0914938,0.00446569,0.0004505325,0.0008166045,0.0004713506,0.004584613,0.03412295],"genre_scores_gemma":[0.9476761,0.00009287862,0.04909949,0.0004341527,0.000118217,0.0001883504,0.0002113659,0.0001137515,0.002065775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003354159,"threshold_uncertainty_score":0.01316524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774243009630293,"score_gpt":0.3690161983606338,"score_spread":0.3412737682643308,"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."}}