{"id":"W2913052408","doi":"","title":"Proceedings of the 10th IEEE international conference on Information Reuse & Integration","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Reuse; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006948535,0.0008578827,0.001707157,0.002181938,0.001791482,0.008577181,0.001593045,0.001869094,0.04063085],"category_scores_gemma":[0.006351067,0.0005231183,0.001357718,0.00282933,0.001512645,0.005361879,0.00272058,0.002139655,0.01058886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352119,"about_ca_system_score_gemma":0.003499963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009438817,"about_ca_topic_score_gemma":0.0171116,"domain_scores_codex":[0.9968343,0.0008327062,0.0002611512,0.0002824744,0.00134955,0.0004397129],"domain_scores_gemma":[0.993425,0.00122565,0.00016027,0.001249994,0.003214483,0.0007246223],"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":[0.0006223997,0.0007479823,0.005278957,0.0004407199,0.0002852914,0.0003557008,0.000714017,0.001639651,0.00775267,0.03701853,0.2730465,0.6720976],"study_design_scores_gemma":[0.00005819331,0.0002430843,0.00630116,0.0004017586,0.0003044375,0.0006726414,0.001054379,0.02362082,0.01243285,0.03563986,0.9191838,0.0000872095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.06015041,0.0519447,0.5369329,0.02836971,0.03770591,0.0009568454,0.00130997,0.003836719,0.2787929],"genre_scores_gemma":[0.2539606,0.03829589,0.21916,0.003785689,0.007301765,0.0004338732,0.007185368,0.001415645,0.4684611],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9593692,"threshold_uncertainty_score":0.1359237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2181293185307085,"score_gpt":0.4171971717500172,"score_spread":0.1990678532193087,"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."}}