{"id":"W2040520897","doi":"10.1109/titb.2011.2177097","title":"An Infobutton For Web 2.0 Clinical Discussions: The Knowledge Linkage Framework","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Information Technology in Biomedicine","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Information retrieval; Lexicon; Linkage (software); Recall; Keyword search; Set (abstract data type); World Wide Web; Natural language processing; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006572628,0.0001670712,0.0002083688,0.0004472564,0.0001744201,0.00001009885,0.0004543425,0.0008588329,0.00003425873],"category_scores_gemma":[0.000179254,0.0001029751,0.00008818017,0.0005519886,0.0007958438,0.00002086211,0.000005908772,0.0004717695,0.00003588961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001837239,"about_ca_system_score_gemma":0.00008824329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007689752,"about_ca_topic_score_gemma":0.00002727434,"domain_scores_codex":[0.9987265,0.00006037205,0.0006400655,0.000206135,0.00009989843,0.000266962],"domain_scores_gemma":[0.9990256,0.0001013118,0.0001395691,0.000562886,0.00009234091,0.00007827854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005114654,0.0008033559,0.000921443,0.00005833927,0.000107857,0.000001543222,0.001445827,0.00001863317,0.00525581,0.001721677,0.002988658,0.9861654],"study_design_scores_gemma":[0.01295929,0.0233453,0.01625326,0.000900097,0.0002922102,0.0001441376,0.02054802,0.007655853,0.15476,0.02033938,0.7410361,0.001766363],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1141713,0.0002283176,0.8788895,0.003997877,0.001356491,0.0006228345,0.00006788732,0.0002032674,0.000462474],"genre_scores_gemma":[0.9874723,0.0003454624,0.01092471,0.0007492529,0.0001047922,0.0002745948,0.00004682472,0.00001089996,0.0000711843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.984399,"threshold_uncertainty_score":0.6624106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402676242873123,"score_gpt":0.3437569239337854,"score_spread":0.3097301615050542,"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."}}