{"id":"W4280503808","doi":"10.1155/2022/6338365","title":"Heterogeneous Social Linked Data Integration and Sharing for Public Transportation","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; RDF; Semantic Web; World Wide Web; SPARQL; Data sharing; Social Semantic Web; Web application; Linked data; Data integration; Data science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003602138,0.0005990726,0.0005979944,0.002922795,0.002036303,0.003278121,0.001684145,0.001115972,0.002256068],"category_scores_gemma":[0.005043009,0.0003038502,0.001297039,0.004283713,0.0008617993,0.0080601,0.006029506,0.0008924433,0.0007457884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803882,"about_ca_system_score_gemma":0.002974647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217242,"about_ca_topic_score_gemma":0.01131594,"domain_scores_codex":[0.9968457,0.001034451,0.00027841,0.0004729686,0.001141333,0.0002272364],"domain_scores_gemma":[0.9971796,0.0004324871,0.0001739857,0.001354389,0.0006815752,0.0001778265],"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":[0.0006659167,0.0009104862,0.01522149,0.0005296043,0.0004805414,0.001334956,0.003214347,0.09992503,0.02026049,0.2368268,0.03338798,0.5872423],"study_design_scores_gemma":[0.00005976143,0.0001180016,0.003947789,0.0001226473,0.000184032,0.0003502966,0.002764232,0.7271702,0.0223816,0.1440984,0.0986651,0.0001380371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05290157,0.0003048483,0.9284829,0.001431513,0.00009500451,0.0005326215,0.001308068,0.005873491,0.00906997],"genre_scores_gemma":[0.5967787,0.0003805144,0.3903486,0.0003065592,0.00005012686,0.0004716461,0.007017795,0.0003888877,0.00425708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01217242,"threshold_uncertainty_score":0.02420318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294811689816651,"score_gpt":0.2779491465050533,"score_spread":0.2450010296068867,"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."}}