{"id":"W2315543853","doi":"10.1017/cjn.2016.40","title":"Neuroradiology Using Secure Mobile Device Review","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Mobile device; Software portability; Image quality; Workstation; Computer science; Medical diagnosis; Medicine; Medical physics; Computer vision; Artificial intelligence; Radiology; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003248366,0.0003490805,0.0007560949,0.001030201,0.001414656,0.0002854132,0.001358883,0.0001514145,0.0002645846],"category_scores_gemma":[0.002229654,0.0001849074,0.0004428201,0.001805249,0.007151406,0.001288059,0.00005730454,0.0008525415,0.000005701534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988228,"about_ca_system_score_gemma":0.003614205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002657736,"about_ca_topic_score_gemma":0.002967112,"domain_scores_codex":[0.9956722,0.0006942679,0.0009699414,0.0005456608,0.0007036582,0.001414258],"domain_scores_gemma":[0.9955128,0.0005524199,0.0007505958,0.0001861066,0.0005868664,0.002411155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.00009628973,0.00005137658,0.9575677,0.00007034763,0.00003567206,0.01204048,0.00007676792,0.0002119319,0.0003435947,0.0004509414,0.001907019,0.02714788],"study_design_scores_gemma":[0.001160174,0.1443836,0.1416414,0.002214809,0.0003617329,0.6566187,0.0001531739,0.0003848405,0.0002783806,0.01143987,0.04051774,0.0008455774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759752,0.01068496,0.00005751668,0.009694807,0.0007316066,0.0002336056,0.00001309765,0.00002201913,0.002587249],"genre_scores_gemma":[0.9813219,0.003580649,0.0015568,0.0131694,0.0003285347,0.00000255874,1.689142e-7,0.00001423309,0.00002575296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8159263,"threshold_uncertainty_score":0.9998854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04116818837485979,"score_gpt":0.3010986614766287,"score_spread":0.2599304731017689,"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."}}