{"id":"W2081728103","doi":"10.2147/jmdh.s72953","title":"Physicians&amp;rsquo; experience adopting the electronic transfer of care communication tool: barriers and opportunities","year":2015,"lang":"en","type":"article","venue":"Journal of Multidisciplinary Healthcare","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Data science; Medicine; Computer science; Medical education","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004730362,0.0001260091,0.0003696601,0.00008066493,0.0002229643,0.00001118042,0.0001716633,0.0000692412,0.000009344181],"category_scores_gemma":[0.0001404717,0.00007883801,0.0001202743,0.0001083338,0.0001749798,0.0001934982,0.00006637075,0.0004406325,3.951633e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001348001,"about_ca_system_score_gemma":0.0007787537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004988528,"about_ca_topic_score_gemma":0.00004345993,"domain_scores_codex":[0.998639,0.0001461644,0.0005354359,0.00009801673,0.0003533024,0.0002280976],"domain_scores_gemma":[0.9984919,0.00009621657,0.0002104939,0.000299878,0.0005870822,0.0003143693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002721121,0.00025644,0.3723257,0.001652941,0.0001956322,0.00008156302,0.5049999,0.0001105593,0.001390786,0.003314578,0.0004299381,0.1125208],"study_design_scores_gemma":[0.003822314,0.005316519,0.1537455,0.002634277,0.0002133269,0.0005987534,0.8176183,0.0002616543,0.001166242,0.0004718169,0.0138087,0.0003426108],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645524,0.01701863,0.0000692222,0.01796211,0.00008980433,0.0002088703,0.000008016246,0.000008731281,0.00008224138],"genre_scores_gemma":[0.9963669,0.002438453,0.000726838,0.0002670606,0.00008020196,0.00000536288,0.000007059041,0.00001597745,0.00009214411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3126183,"threshold_uncertainty_score":0.321492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07396223727322702,"score_gpt":0.3623720063150989,"score_spread":0.2884097690418718,"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."}}