{"id":"W2081327572","doi":"10.1145/1882992.1883117","title":"Visual coder","year":2010,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Terminology; Computer science; Visualization; SNOMED CT; Coding (social sciences); Human–computer interaction; Graphical user interface; Interface (matter); Multidisciplinary approach; Domain (mathematical analysis); Information retrieval; Controlled vocabulary; Data science; 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":[0.003521654,0.002291487,0.001294705,0.003570487,0.0008169435,0.004630151,0.003342872,0.002097758,0.1494637],"category_scores_gemma":[0.01920753,0.0008964215,0.001209047,0.002082724,0.0009468934,0.003128743,0.003644123,0.002329028,0.05990788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403958,"about_ca_system_score_gemma":0.001870154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004700505,"about_ca_topic_score_gemma":0.002500722,"domain_scores_codex":[0.9977307,0.0004195201,0.0003070906,0.0004856595,0.0008440423,0.0002130967],"domain_scores_gemma":[0.9897053,0.004067475,0.0004034103,0.001696184,0.003646822,0.0004809194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001279708,0.0001406058,0.001172379,0.00136563,0.00005996387,0.0008528533,0.001017968,0.003016431,0.01233163,0.02362855,0.7108532,0.2442811],"study_design_scores_gemma":[0.0002854199,0.0001061506,0.001466337,0.0005376838,0.00004043083,0.0008365608,0.000353576,0.03956451,0.02670748,0.02571376,0.9042086,0.0001794649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.003161055,0.0003241806,0.5084971,0.001173072,0.0006279416,0.001431187,0.04904361,0.3990805,0.03666137],"genre_scores_gemma":[0.06683408,0.0008408899,0.6201343,0.002233371,0.0003609977,0.005024328,0.09307577,0.128879,0.08261724],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1494637,"threshold_uncertainty_score":0.5000058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006261683091582631,"score_gpt":0.285952468211125,"score_spread":0.2796907851195423,"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."}}