{"id":"W2088212842","doi":"10.4304/jetwi.1.2.137-145","title":"Toward Web-based Careflow Management Systems","year":2009,"lang":"en","type":"article","venue":"Journal of Emerging Technologies in Web Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; World Wide Web","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":[0.007484419,0.0003607102,0.0004576485,0.001266163,0.001182804,0.004489531,0.001842112,0.001754391,0.003585614],"category_scores_gemma":[0.008440302,0.0004680344,0.0009699696,0.001035018,0.001490372,0.004491483,0.00343505,0.00225365,0.001224147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364608,"about_ca_system_score_gemma":0.002694307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004196744,"about_ca_topic_score_gemma":0.00277739,"domain_scores_codex":[0.9973171,0.001008091,0.0003157712,0.0003383821,0.0008455611,0.0001750279],"domain_scores_gemma":[0.9958739,0.00122899,0.0003591498,0.0008646382,0.001316216,0.0003571633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005134856,0.0006908436,0.008192337,0.0004989705,0.0002076835,0.00187919,0.002282325,0.08065794,0.01331724,0.4865562,0.03560594,0.3695978],"study_design_scores_gemma":[0.0001270502,0.00008240402,0.0006900124,0.0003241298,0.00008755682,0.0004081254,0.0003187091,0.6255352,0.01512928,0.215385,0.1418495,0.00006293407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01004695,0.0002474364,0.9738804,0.002378507,0.0001884008,0.0003641035,0.0001514536,0.006347145,0.006395523],"genre_scores_gemma":[0.1667947,0.0005053235,0.8242336,0.001202974,0.0002034216,0.0004329959,0.0007894197,0.0003718066,0.005465669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007484419,"threshold_uncertainty_score":0.03958189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308531121238847,"score_gpt":0.2888633866959314,"score_spread":0.2557780754835429,"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."}}