{"id":"W2156825692","doi":"10.1109/cbms.2008.80","title":"Support for Informal Information Use and its Formalization in Medical Work","year":2008,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Software deployment; Computer science; Work (physics); Work flow; Medical information; Information flow; Personal information manager; Field (mathematics); Information system; Personal information management; Knowledge management; Human–computer interaction; Management information systems; Software engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001273749,0.00005760679,0.00006460849,0.0001193981,0.00006448648,0.00005351185,0.0001446587,0.00005152412,0.00004054222],"category_scores_gemma":[0.0002225932,0.0000493038,0.00001966988,0.0001766964,0.0000120035,0.008134712,0.00007787083,0.00005234523,0.00003374298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001281793,"about_ca_system_score_gemma":0.00006448616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009154703,"about_ca_topic_score_gemma":0.000005996291,"domain_scores_codex":[0.9994112,0.000007461052,0.0001967421,0.00006549882,0.0001671481,0.0001519674],"domain_scores_gemma":[0.9996179,0.00008162899,0.00004448857,0.00006849604,0.0001313779,0.00005605438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004674512,0.0002258502,0.1864792,0.0001516014,0.00005458631,0.00004465497,0.0368631,0.0003634589,0.0004024932,0.7036645,0.04227095,0.02901217],"study_design_scores_gemma":[0.002158042,0.0003053631,0.6487235,0.00004337222,0.000003178821,0.0001258916,0.0002149775,0.2866997,0.008041929,0.00008281974,0.05326308,0.0003381171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2638203,0.000004711826,0.7321906,0.0003062387,0.0001479054,0.0002147063,0.000001829389,0.00001470384,0.003299001],"genre_scores_gemma":[0.9950035,0.00002433022,0.001672444,0.003039936,0.00001228809,0.00001789901,0.00003204456,0.00000162872,0.0001958816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7311833,"threshold_uncertainty_score":0.589747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223115804021334,"score_gpt":0.2586819879656693,"score_spread":0.2363704075635359,"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."}}