{"id":"W2149378423","doi":"10.1186/2041-1480-1-s1-s7","title":"Modeling biomedical experimental processes with OBI","year":2010,"lang":"en","type":"article","venue":"Journal of Biomedical Semantics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":286,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Center for Research Resources; National Institute of Environmental Health Sciences; Engineering and Physical Sciences Research Council; Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; National Institute of Mental Health; Public Health Agency; Public Health Agency of Canada; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Michael Smith Health Research BC; National Institute of Allergy and Infectious Diseases; NERC Environmental Bioinformatics Centre","keywords":"Computer science; Data science; Terminology; Ontology; Process (computing); Semantic Web; Interpretation (philosophy); Information retrieval; Epistemology; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007172293,0.001174724,0.0009861656,0.005492005,0.001428297,0.006485663,0.003201751,0.001777408,0.005933884],"category_scores_gemma":[0.0136647,0.0009309381,0.004233828,0.005314304,0.002326279,0.005542479,0.004442946,0.002111569,0.001662532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003907953,"about_ca_system_score_gemma":0.005328873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01512631,"about_ca_topic_score_gemma":0.0112175,"domain_scores_codex":[0.9975083,0.0006971082,0.0004918216,0.0004743905,0.0006570062,0.000171337],"domain_scores_gemma":[0.9899093,0.006176194,0.001106267,0.001710926,0.0008542821,0.000243091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001565199,0.0001442577,0.005358785,0.0008982487,0.0002042836,0.0005715239,0.001059269,0.4497452,0.001723844,0.4679196,0.004946759,0.06727178],"study_design_scores_gemma":[0.00003135813,0.00001885492,0.0003951303,0.0001250588,0.0001241303,0.0001608133,0.0001428058,0.7669958,0.001611269,0.1782078,0.05216154,0.00002542376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005085098,0.0003875353,0.98066,0.0008166676,0.00006107642,0.0004200903,0.002302907,0.00243222,0.00783431],"genre_scores_gemma":[0.07985296,0.001269288,0.907733,0.0002322283,0.00008780136,0.001281773,0.00553491,0.0004764072,0.003531467],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01512631,"threshold_uncertainty_score":0.03793114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200842841084153,"score_gpt":0.2767398138278822,"score_spread":0.2647313854170406,"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."}}