{"id":"W2407659378","doi":"","title":"Ecotoxicology Data Federation with SADI Semantic Web Services.","year":2012,"lang":"en","type":"article","venue":"SWAT4LS","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"SPARQL; World Wide Web; Computer science; Premise; Semantic Web; RDF; Data science; Information retrieval","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":[0.01159167,0.0006764843,0.0007963576,0.002279676,0.001516216,0.00377318,0.002683867,0.001140619,0.002971151],"category_scores_gemma":[0.01103627,0.0005877578,0.001973916,0.002620026,0.0009698198,0.006059139,0.005337086,0.001521779,0.001952186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504613,"about_ca_system_score_gemma":0.004736792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007979131,"about_ca_topic_score_gemma":0.00720154,"domain_scores_codex":[0.9949234,0.001029091,0.0009356861,0.000760654,0.00194825,0.0004029797],"domain_scores_gemma":[0.9888881,0.002398533,0.0008113598,0.005113875,0.002088687,0.0006993849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004755344,0.002380164,0.07118142,0.002808009,0.001420643,0.002710348,0.005299039,0.02936031,0.07615107,0.2077393,0.165822,0.4303724],"study_design_scores_gemma":[0.000296903,0.0003639647,0.01371131,0.0003984894,0.0004136302,0.001667808,0.001944719,0.2931323,0.08080339,0.09543201,0.5115849,0.0002505117],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07486529,0.0007232738,0.7378632,0.00454671,0.0004391011,0.001770831,0.02001908,0.1125489,0.04722346],"genre_scores_gemma":[0.4339515,0.0005875607,0.4569285,0.001619335,0.000124739,0.001070626,0.09212667,0.003544414,0.01004662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01159167,"threshold_uncertainty_score":0.06130338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581648631814464,"score_gpt":0.2859690024521057,"score_spread":0.2601525161339611,"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."}}