{"id":"W2406568832","doi":"","title":"08421 Working Group: Classification, Representation and Modeling.","year":2009,"lang":"en","type":"article","venue":"Dagstuhl Seminar Proceedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Representation (politics); Computer science; Implementation; Group (periodic table); Class (philosophy); Theoretical computer science; Artificial intelligence; Software 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002902118,0.0001408573,0.0001560356,0.0001137363,0.0001918062,0.0003412875,0.0004807467,0.00008247767,0.000001368311],"category_scores_gemma":[0.0001115235,0.0001314788,0.00003338923,0.0003981962,0.00003532262,0.0007380575,0.0001084639,0.0001173784,0.000009484421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003682716,"about_ca_system_score_gemma":0.0000160298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001302874,"about_ca_topic_score_gemma":0.000001134271,"domain_scores_codex":[0.9987454,0.000007403101,0.0002310608,0.00051947,0.0002391891,0.0002574973],"domain_scores_gemma":[0.9994783,0.00003332055,0.0001013536,0.00020107,0.0001122435,0.00007370847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000401262,0.0001956577,0.0187586,0.0000523289,0.00002933457,0.0000219895,0.0173271,0.00004850829,0.04077903,0.5082878,0.008680309,0.4057792],"study_design_scores_gemma":[0.0005441569,0.0002717183,0.04631368,0.0001582525,0.00002593121,0.0001895306,0.001987993,0.8809364,0.002901025,0.0614231,0.004685156,0.0005630351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6686437,0.001191554,0.3026263,0.007994813,0.0003453434,0.0004339933,4.774016e-7,0.000989983,0.01777381],"genre_scores_gemma":[0.9627545,0.0001131943,0.03645929,0.0003979924,0.0001007157,0.00001086384,0.000002767921,0.000005999676,0.0001547045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8808879,"threshold_uncertainty_score":0.536155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06040384132707119,"score_gpt":0.2911158123040412,"score_spread":0.23071197097697,"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."}}