{"id":"W2398900917","doi":"","title":"Virtual Medical Board: A distributed Bayesian agent based approach","year":2013,"lang":"en","type":"article","venue":"eSpace (Curtin University)","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Bayesian probability; Artificial intelligence","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":[0.001956903,0.0005766557,0.0009098324,0.0009455614,0.001064458,0.002905215,0.002456069,0.001877175,0.005965243],"category_scores_gemma":[0.003266479,0.000537439,0.0007056143,0.0007941978,0.001060102,0.002651801,0.002015969,0.001156523,0.0009785253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238031,"about_ca_system_score_gemma":0.001996054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005070854,"about_ca_topic_score_gemma":0.00455444,"domain_scores_codex":[0.9982784,0.0009134069,0.00006832244,0.0002240072,0.0004014526,0.0001145017],"domain_scores_gemma":[0.9989961,0.0004865698,0.0000918377,0.00006850581,0.000197435,0.0001595397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003065978,0.0003158886,0.001673992,0.0002878333,0.0001727935,0.000756377,0.0009222663,0.4573567,0.005568134,0.3232269,0.007760475,0.2016521],"study_design_scores_gemma":[0.00006120743,0.00005985762,0.0001627003,0.00002771191,0.00004745439,0.0001593377,0.0001396093,0.9221349,0.000762739,0.05950467,0.01691148,0.00002832858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005608128,0.0004235533,0.9839259,0.0006994811,0.00008665038,0.0001263099,0.00003896766,0.000354685,0.008736333],"genre_scores_gemma":[0.3824262,0.0008985784,0.5995058,0.000345049,0.0001742434,0.0003344592,0.0001831233,0.0001440277,0.01598849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005965243,"threshold_uncertainty_score":0.01995569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000652717527729,"score_gpt":0.1916270592691743,"score_spread":0.181620532093897,"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."}}