{"id":"W2394958174","doi":"","title":"SHARE & The Semantic Web - This Time it's Personal!","year":2010,"lang":"en","type":"article","venue":"OWL: Experiences and Directions","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Semantic Web; Ontology; Social Semantic Web; World Wide Web; Semantic analytics; Information retrieval; Semantic Web Stack; Linked data; Data Web; Data science; Semantics (computer science); Web service","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":[0.004548613,0.0003438921,0.0003525564,0.0007192296,0.002262918,0.01131713,0.001055823,0.002885432,0.04353689],"category_scores_gemma":[0.0092571,0.0002887036,0.0005423772,0.002288069,0.003867162,0.03189989,0.006180409,0.002928755,0.01973746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009902861,"about_ca_system_score_gemma":0.002609148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003475321,"about_ca_topic_score_gemma":0.003254019,"domain_scores_codex":[0.997295,0.0007255796,0.0001048531,0.0002923309,0.001269319,0.0003128555],"domain_scores_gemma":[0.9951893,0.0008691526,0.0002177025,0.002128976,0.0008694597,0.0007254064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009724126,0.00005676057,0.00164628,0.0001582301,0.00002941223,0.0002064998,0.002853552,0.0002887074,0.001763457,0.2148768,0.4626788,0.3153443],"study_design_scores_gemma":[0.00000391207,0.000006129271,0.0001631375,0.00005347981,0.000004382406,0.0001088328,0.0008971792,0.0001692597,0.0003693279,0.02949493,0.9687186,0.00001083804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01481383,0.01405304,0.09041767,0.2788579,0.01184376,0.0001169421,0.001840734,0.006891918,0.5811642],"genre_scores_gemma":[0.2244422,0.01966938,0.06690591,0.06764933,0.006572415,0.0001751553,0.004645317,0.006505655,0.6034346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04353689,"threshold_uncertainty_score":0.1456453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899596567869222,"score_gpt":0.3507896507987445,"score_spread":0.2917936851200523,"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."}}