{"id":"W2494363424","doi":"10.4018/978-1-4666-4321-5.ch001","title":"Decision-Making and Decision Support in Acute Care","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in healthcare information systems and administration book series","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Decision support system; Clinical decision support system; Categorization; R-CAST; Clinical decision making; Management science; Decision analysis; Affect (linguistics); Computer science; Business decision mapping; Knowledge management; Medicine; Psychology; Artificial intelligence; Family medicine; Engineering; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009962964,0.0005468738,0.001086206,0.0007063748,0.0006045063,0.0001249029,0.0001750899,0.001053901,0.0001361681],"category_scores_gemma":[0.0001597907,0.0005183751,0.00005297658,0.0001206914,0.0001153749,0.006096047,0.0001132193,0.001335953,0.0001779758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593118,"about_ca_system_score_gemma":0.002069388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003833115,"about_ca_topic_score_gemma":0.00864362,"domain_scores_codex":[0.9942357,0.0001782467,0.003698763,0.0005002824,0.0006324459,0.0007545816],"domain_scores_gemma":[0.995856,0.001056002,0.001736443,0.0004497674,0.0006071894,0.0002945525],"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":[0.0007932936,0.00001045722,0.009318275,0.01682414,0.00002740378,0.0000479893,0.01095526,0.00003646563,3.950022e-7,0.454367,0.00155743,0.5060619],"study_design_scores_gemma":[0.0008557501,0.0007059774,0.001147445,0.01131289,0.0000119327,0.0001336888,0.006559558,0.0001302323,3.783306e-7,0.006489398,0.9721274,0.0005253479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01284402,0.2572148,0.003416592,0.00450903,0.01499791,0.03069795,0.001654725,0.0006687884,0.6739962],"genre_scores_gemma":[0.6890564,0.2441339,0.005289758,0.004734886,0.001085385,0.003564743,0.001359633,0.0002462571,0.050529],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.97057,"threshold_uncertainty_score":0.9997268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225775390411108,"score_gpt":0.3906911527339411,"score_spread":0.3684333988298301,"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."}}