{"id":"W2060570060","doi":"10.1002/meet.14503901106","title":"The MetaMap Project","year":2002,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Metadata; World Wide Web; Computer science; Data science; Knowledge management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01297744,0.00315464,0.001518804,0.008191733,0.003420992,0.01455787,0.007712489,0.004798689,0.07704502],"category_scores_gemma":[0.02624454,0.001939017,0.004724215,0.009250154,0.002700326,0.01807345,0.0178001,0.005680488,0.0818406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002617935,"about_ca_system_score_gemma":0.008093187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00706782,"about_ca_topic_score_gemma":0.005463911,"domain_scores_codex":[0.9845628,0.005615489,0.001759561,0.003404265,0.003865866,0.0007919951],"domain_scores_gemma":[0.9854758,0.0042864,0.0006151867,0.006032779,0.002268352,0.00132138],"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":[0.0002175406,0.0001399428,0.0009686775,0.001430694,0.0001559109,0.0002552742,0.00116624,0.001767949,0.001223688,0.190149,0.5358223,0.2667028],"study_design_scores_gemma":[0.00001560633,0.00001357708,0.0001977727,0.000338827,0.00002011014,0.0001512793,0.0001802719,0.001059749,0.0004824653,0.05096045,0.9465471,0.00003276842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002637992,0.006309148,0.5249302,0.0141001,0.003379337,0.0008534677,0.06913541,0.1843724,0.194282],"genre_scores_gemma":[0.01836516,0.006490805,0.607264,0.006553508,0.0007884956,0.002479634,0.2114344,0.05358369,0.09304027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07704502,"threshold_uncertainty_score":0.2577413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515876031110135,"score_gpt":0.2250646837905149,"score_spread":0.1999059234794136,"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."}}