{"id":"W4232588250","doi":"10.22215/etd/2007-06390","title":"An integrated hybrid data mining systems for preterm birth risk assessment based on a 'semantic web services for healthcare' framework","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Health care; World Wide Web; Library science; Political science; Law","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":[0.002694356,0.0006735756,0.001366375,0.002784356,0.0005985344,0.002422146,0.001390075,0.0008974625,0.001438615],"category_scores_gemma":[0.003146935,0.0003863377,0.001269281,0.001754814,0.0002669379,0.001529617,0.001564766,0.0005169063,0.0005948481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007498618,"about_ca_system_score_gemma":0.002359501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053493,"about_ca_topic_score_gemma":0.01192093,"domain_scores_codex":[0.9987966,0.0002366805,0.0002025652,0.0002577285,0.0004358182,0.00007072848],"domain_scores_gemma":[0.9988549,0.0004408446,0.00009267403,0.0001206201,0.0004000036,0.00009105558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001220792,0.0007723729,0.01772453,0.0006287254,0.001107044,0.0008875413,0.0008353486,0.04745702,0.02736577,0.01664364,0.01296662,0.8723905],"study_design_scores_gemma":[0.000208387,0.0003358948,0.008894341,0.0001850878,0.0008340107,0.001035501,0.0004349951,0.9034632,0.02681767,0.01566203,0.04199243,0.0001365054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02679478,0.0008738925,0.9537544,0.000736852,0.00006617459,0.0004742647,0.0009807837,0.01427604,0.002042885],"genre_scores_gemma":[0.1830167,0.0006237764,0.8103954,0.0003172593,0.00005109188,0.0003925887,0.002701876,0.0002210836,0.002280186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01053493,"threshold_uncertainty_score":0.02094722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268372520475613,"score_gpt":0.3481440268636194,"score_spread":0.3254603016588633,"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."}}