{"id":"W2015277797","doi":"10.1145/2507288.2507291","title":"Presentation patterns","year":2013,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Presentation (obstetrics); Software engineering; Medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00005861118,0.0001237385,0.00009894231,0.0001025504,0.00004634618,0.0002651854,0.0008192274,0.0000436407,0.0001097427],"category_scores_gemma":[0.02119177,0.0001220666,0.00003899399,0.0002581009,0.000006878608,0.0008464034,0.0002911556,0.00007632176,0.0003074801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001774751,"about_ca_system_score_gemma":0.00001479021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005848057,"about_ca_topic_score_gemma":0.000001254967,"domain_scores_codex":[0.999188,0.00001087615,0.0001647046,0.0002282713,0.0001958493,0.0002122861],"domain_scores_gemma":[0.9941486,0.004971823,0.00004296469,0.0006530261,0.00008599491,0.00009757758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[7.302941e-7,0.0001047385,0.9131792,0.0001795858,0.00005439078,0.00001363284,0.0008781849,0.004269247,0.00274182,0.01319372,0.008433749,0.05695099],"study_design_scores_gemma":[0.0003617411,0.00005628355,0.907636,0.00009115894,0.00001238849,0.00001352213,0.00001730962,0.07724492,0.007857717,0.0003348497,0.005729259,0.0006448819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05772205,0.00003637535,0.9407224,0.0003712487,0.0002575853,0.0001063867,0.000007505474,0.0007731775,0.000003245654],"genre_scores_gemma":[0.9156598,0.00001061201,0.08379798,0.0002774038,0.00007250191,0.00002295444,0.00004945015,0.00001642319,0.00009283374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8579378,"threshold_uncertainty_score":0.9870532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692518151683427,"score_gpt":0.2557837749532833,"score_spread":0.2388585934364491,"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."}}