{"id":"W2999349352","doi":"10.29173/hsi169","title":"Post-discharge telephone calls: Improving the communication gap between patients, families and healthcare providers","year":2019,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Health care; Business; Medical emergency; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002344783,0.0001782067,0.0003006551,0.0004040415,0.001314169,0.0002924012,0.0007184611,0.0001067741,0.00001134815],"category_scores_gemma":[0.000210448,0.0001272339,0.00003081881,0.001034041,0.0007295372,0.001520872,0.0005618737,0.0003902404,0.0001197134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504197,"about_ca_system_score_gemma":0.0004576373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05090351,"about_ca_topic_score_gemma":0.001729132,"domain_scores_codex":[0.9976516,0.00004195293,0.0005591075,0.000500785,0.0004987018,0.000747826],"domain_scores_gemma":[0.9981427,0.00007540754,0.0005060928,0.0007608326,0.0004515816,0.00006345563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009292449,0.00003382034,0.6941038,0.001407119,0.000004014393,2.343265e-7,0.002077516,7.382359e-7,0.0001038999,0.01430214,0.0007283057,0.2872292],"study_design_scores_gemma":[0.0007335799,0.0002017015,0.9314722,0.0003336625,0.000007940455,0.000002944726,0.01984258,0.0007313212,0.00002395291,0.001539628,0.04470421,0.0004062219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567106,0.0006975666,0.00003214767,0.03996759,0.0006625686,0.001484954,0.000007354098,0.0001678907,0.0002692629],"genre_scores_gemma":[0.9899961,0.00008212195,0.0001338181,0.009348976,0.0003068683,0.00004884937,0.00002738382,0.00001934517,0.00003648762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2868229,"threshold_uncertainty_score":0.999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04455273337350688,"score_gpt":0.302386163523125,"score_spread":0.2578334301496181,"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."}}