{"id":"W2611551016","doi":"10.4018/jdm.2017010101","title":"Thirty Years Later","year":2017,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scripting language; Ontology; Conceptual model; Rule-based machine translation; Epistemology; Management science; Artificial intelligence; Programming language; Philosophy; 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":[0.004443072,0.0008017615,0.0005576557,0.002749141,0.004941724,0.007186898,0.001298508,0.003127715,0.1147728],"category_scores_gemma":[0.01072913,0.0003788861,0.0007989785,0.002408269,0.003443167,0.00645876,0.005674499,0.004932983,0.06650177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007199703,"about_ca_system_score_gemma":0.005776973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001733,"about_ca_topic_score_gemma":0.01657227,"domain_scores_codex":[0.9965523,0.0008151393,0.0002117724,0.0008834013,0.0009043514,0.0006329522],"domain_scores_gemma":[0.9960753,0.0005194293,0.0002112012,0.0006162161,0.001570738,0.001007012],"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":[0.0001681979,0.0001132606,0.00185816,0.0001762425,0.00001999966,0.0003352664,0.003800589,0.0002121463,0.0004849439,0.5761201,0.2819143,0.1347967],"study_design_scores_gemma":[0.000004288958,0.00001520691,0.0004749731,0.00006839225,0.000002486867,0.00008545192,0.0004617483,0.00005639927,0.000183773,0.01034861,0.9882884,0.00001023322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01479664,0.01493147,0.01351632,0.07025253,0.01967124,0.000254068,0.002871974,0.0006542176,0.8630515],"genre_scores_gemma":[0.06098554,0.005203439,0.004793477,0.01453097,0.001408021,0.0001284682,0.001373242,0.0003137855,0.9112629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1147728,"threshold_uncertainty_score":0.3839532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043648919459441,"score_gpt":0.2856213410340686,"score_spread":0.2551848518394741,"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."}}