{"id":"W2142059174","doi":"10.1109/icdcs.1994.302461","title":"Object properties in the Raven system","year":2002,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Object (grammar); Property (philosophy); Scheme (mathematics); Object-relational mapping; Object-oriented programming; Semantics (computer science); Programming language; Artificial intelligence; Method; Theoretical computer science; Mathematics","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":[0.000384181,0.00007379059,0.00009444387,0.00003689724,0.00007104935,0.0002181004,0.0009908311,0.0000253785,0.000006240856],"category_scores_gemma":[0.000009809101,0.0000390391,0.00003319815,0.0002989336,0.00001254094,0.0001147153,0.00007053577,0.00007197881,0.0002638187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002228683,"about_ca_system_score_gemma":0.000007528353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000919757,"about_ca_topic_score_gemma":0.000008578498,"domain_scores_codex":[0.9991397,0.0001522399,0.0001613737,0.0001676004,0.0001942471,0.0001848991],"domain_scores_gemma":[0.9994826,0.00004157337,0.00003096959,0.0004054758,0.00001967418,0.00001972472],"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":[0.000006646386,0.0005589306,0.007925876,0.0005072774,0.0000603737,0.0003746392,0.04862804,0.01322644,0.0002115421,0.7929856,0.1067426,0.02877202],"study_design_scores_gemma":[0.000284459,0.00005905184,0.002084342,0.0001280123,0.000001765155,0.0001745023,0.00081111,0.9747424,0.00006089192,0.00009371545,0.02136417,0.0001955603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0494002,0.001191092,0.4586703,0.002780097,0.001058836,0.0007101817,0.000001426135,0.0009011608,0.4852867],"genre_scores_gemma":[0.9980137,0.000001232412,0.000581368,0.0001707132,0.0000546001,0.00001231537,2.869162e-7,0.000002289834,0.001163499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.961516,"threshold_uncertainty_score":0.3390944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04043654983038631,"score_gpt":0.1989822324415592,"score_spread":0.1585456826111729,"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."}}