{"id":"W1496974946","doi":"10.1007/bfb0024355","title":"Reflection in a uniform behavioral object model","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reflection (computer programming); Computer science; Encapsulation (networking); Object (grammar); Architecture; Semantics (computer science); Object model; Programming language; Common Object Request Broker Architecture; Artificial intelligence","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":[0.003597655,0.0006459918,0.0008577961,0.0007330152,0.001195999,0.003759742,0.002383177,0.001590105,0.006182522],"category_scores_gemma":[0.009167803,0.001014468,0.001608051,0.001144694,0.003411333,0.0105254,0.003841159,0.003094078,0.00167101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112362,"about_ca_system_score_gemma":0.001494844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807668,"about_ca_topic_score_gemma":0.001348216,"domain_scores_codex":[0.9968876,0.001070915,0.0002949846,0.0006668327,0.0007016558,0.0003780547],"domain_scores_gemma":[0.9932368,0.001640981,0.000321654,0.003887936,0.0007122207,0.0002004274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002592068,0.00002121033,0.000140908,0.00001935131,0.000005461474,0.00002851686,0.0002165536,0.002576768,0.0006656935,0.9884142,0.0003876603,0.007497782],"study_design_scores_gemma":[0.00003845863,0.00003694614,0.00009578064,0.00002468847,0.00003947709,0.00007263378,0.0001057626,0.04115755,0.002253366,0.9474498,0.008708323,0.00001719752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01936753,0.00006854744,0.9625933,0.0003544529,0.00004670105,0.00005830988,0.00006574501,0.001194559,0.01625074],"genre_scores_gemma":[0.4426519,0.0002453133,0.5208346,0.0004797716,0.0001128466,0.000421696,0.0004279768,0.00122683,0.033599],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006182522,"threshold_uncertainty_score":0.02068257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266509688631544,"score_gpt":0.2958074335323978,"score_spread":0.2631423366460824,"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."}}