{"id":"W2037489747","doi":"10.1118/1.2241325","title":"SU‐FF‐T‐406: Testing of ATC Method 2 for Supporting QA of Cooperative Group Advanced Technology Clinical Trials Requiring Digital Data Submission","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"DICOM; Usability; Upload; Computer science; Software; Interface (matter); Acceptance testing; Web application; Identifier; Database; Medical physics; Software engineering; World Wide Web; Operating system; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03329455,0.0008417853,0.0003509331,0.001089556,0.0004615511,0.001789418,0.001921744,0.001106971,0.00674223],"category_scores_gemma":[0.09530826,0.0006290087,0.0006393998,0.0007143418,0.0005596656,0.001488128,0.0008718677,0.0007914848,0.00229476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300772,"about_ca_system_score_gemma":0.0040581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003393316,"about_ca_topic_score_gemma":0.002942874,"domain_scores_codex":[0.9849703,0.006799993,0.001968562,0.001147951,0.004737703,0.0003755964],"domain_scores_gemma":[0.9038616,0.05498534,0.005500023,0.01113819,0.02282111,0.001693769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02477903,0.006580133,0.09472984,0.001977602,0.0006380156,0.001039335,0.004098885,0.03626492,0.1203961,0.004831118,0.08509493,0.61957],"study_design_scores_gemma":[0.01005798,0.03624937,0.2018779,0.000679555,0.0005145547,0.004419228,0.0006866971,0.3638658,0.2435628,0.003002627,0.1343259,0.0007576315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7173229,0.0005492891,0.1817544,0.001532243,0.0004670325,0.01043525,0.005754793,0.06267278,0.01951122],"genre_scores_gemma":[0.6939991,0.0002004206,0.2811098,0.0008398169,0.0001333054,0.005387347,0.008997195,0.003968488,0.005364648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03329455,"threshold_uncertainty_score":0.1760805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4794932457722956,"score_gpt":0.5719630017789176,"score_spread":0.092469756006622,"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."}}