{"id":"W1555519040","doi":"10.3233/sw-2011-0048","title":"Taking flight with OWL2","year":2011,"lang":"en","type":"article","venue":"Semantic Web","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Aeronautics; Computer science; Engineering","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":[0.006031304,0.001003681,0.0006110184,0.001753402,0.002363159,0.006531321,0.002189019,0.001558209,0.03206476],"category_scores_gemma":[0.01538922,0.001133875,0.002666573,0.001292475,0.00137889,0.01142206,0.005520554,0.005861133,0.01656208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292257,"about_ca_system_score_gemma":0.003027854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01844184,"about_ca_topic_score_gemma":0.01888393,"domain_scores_codex":[0.9958676,0.0008036983,0.0003152191,0.0005549811,0.002146771,0.000311747],"domain_scores_gemma":[0.9952154,0.001149713,0.0001849566,0.001584815,0.001501105,0.0003639076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002803508,0.0001966323,0.001571842,0.0004750086,0.0002280134,0.0007885153,0.001393684,0.002465576,0.004378101,0.1936877,0.5081112,0.2864234],"study_design_scores_gemma":[0.00005726492,0.00003393695,0.0002701264,0.0001616403,0.00004859811,0.0002971552,0.0004050063,0.006632621,0.002502283,0.1145563,0.874974,0.00006107194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006068265,0.001435125,0.7322847,0.02069709,0.005622191,0.0005374081,0.01179283,0.07322626,0.1483362],"genre_scores_gemma":[0.07328981,0.002129465,0.7843494,0.01032015,0.001000471,0.0003769896,0.03036028,0.02420991,0.07396351],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03206476,"threshold_uncertainty_score":0.1072673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682263809042286,"score_gpt":0.2404968067435917,"score_spread":0.2136741686531688,"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."}}