{"id":"W67933162","doi":"10.3233/978-1-58603-923-3-208","title":"SKIing with DOLCE: toward an e-Science Knowledge Infrastructure","year":2008,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"e-Science; Knowledge management; Data science; Computer science; Geography; Geodesy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000191457,0.0002979666,0.0003408084,0.0004390039,0.0003752067,0.0002216187,0.001379977,0.0002070045,0.000008626117],"category_scores_gemma":[0.00001588552,0.0002592666,0.00004223351,0.0003781308,0.001110216,0.0005103861,0.0002515316,0.0003986331,0.00002711466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009474302,"about_ca_system_score_gemma":0.0003444258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001655571,"about_ca_topic_score_gemma":0.00007241447,"domain_scores_codex":[0.9981009,0.00001170644,0.0003846639,0.0008742186,0.0002734883,0.0003550012],"domain_scores_gemma":[0.9987358,0.00004356807,0.00015514,0.0007565229,0.0001577692,0.0001511651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000551807,0.00002695519,0.00006763984,0.00001486535,0.000007693568,0.000007301063,0.001558587,0.0001231325,0.00002215529,0.4282657,0.0005870271,0.5693135],"study_design_scores_gemma":[0.00004544224,0.000202733,0.0003412495,0.0001720365,0.00003086432,0.00008931589,0.001278295,0.02504397,0.002320644,0.792398,0.1770347,0.001042787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001073726,0.001529229,0.942255,0.0002839834,0.0003163553,0.0004964232,0.000006380382,0.0001324135,0.05487284],"genre_scores_gemma":[0.2739355,0.0114007,0.6919935,0.000658166,0.00133624,0.0005805533,0.00005457727,0.0001375994,0.01990317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5682707,"threshold_uncertainty_score":0.9999859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04113656600120014,"score_gpt":0.2818609293148805,"score_spread":0.2407243633136804,"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."}}