{"id":"W2365112007","doi":"","title":"Development of Health Decision Support System(HDSS) in Canada and its Enlightenments to China","year":2012,"lang":"en","type":"article","venue":"Zhongguo xunzheng yixue zazhi","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Decision support system; Business; Information system; Function (biology); Quality (philosophy); Clinical decision support system; Knowledge management; Enlightenment; Control (management); Computer science; Engineering; Political science; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00270025,0.0002784935,0.000683818,0.0002655539,0.0006698837,0.000005699789,0.0003021547,0.000167688,0.000207231],"category_scores_gemma":[0.0003465928,0.0002593828,0.00003131416,0.0004645978,0.00001705001,0.0002033981,0.0003003592,0.0005487891,0.0002840822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003378761,"about_ca_system_score_gemma":0.005332473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7232506,"about_ca_topic_score_gemma":0.8965889,"domain_scores_codex":[0.9949002,0.000533505,0.002085124,0.0004160663,0.0007058356,0.001359254],"domain_scores_gemma":[0.9978395,0.0003484517,0.0005056886,0.0004045164,0.0001551081,0.0007467581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001031538,0.0001102733,0.8334991,0.00205208,0.00002578353,0.00001248385,0.06812081,0.00005400269,0.0002872859,0.001346875,0.002164022,0.09222411],"study_design_scores_gemma":[0.0004607153,0.0001076284,0.927036,0.003162087,0.0000106309,0.000008968223,0.04570505,0.000663722,0.002195335,0.00005322241,0.02004921,0.0005473956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936526,0.0007388063,0.000479292,0.0005522709,0.002088408,0.001681383,0.00004505551,0.00004518775,0.000717017],"genre_scores_gemma":[0.9943066,0.00004084291,0.004438218,0.0006256407,0.0001495472,0.0001775803,0.00001869597,0.00004720429,0.0001956464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1733383,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116635511676361,"score_gpt":0.4288798167230403,"score_spread":0.3172162655554042,"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."}}