{"id":"W2179444707","doi":"10.1177/1460458215603223","title":"Synoptic operative reports for spinal cord injury patients as a tool for data quality","year":2015,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Spinal cord injury; Medicine; Spinal cord; Quality (philosophy); Data quality; Physical medicine and rehabilitation; Computer science; Operations management; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005573623,0.0002059759,0.0006235191,0.0001680732,0.0002215881,0.0001572311,0.0002459176,0.000067273,0.00001013192],"category_scores_gemma":[0.0101362,0.0001585852,0.00007654463,0.0001390034,0.00009185998,0.00124072,0.0001315599,0.0004091909,0.00001872747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000434487,"about_ca_system_score_gemma":0.002743691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001636656,"about_ca_topic_score_gemma":0.000001307639,"domain_scores_codex":[0.9959233,0.00004506514,0.002504555,0.000156269,0.0008230736,0.0005477265],"domain_scores_gemma":[0.9953322,0.0001266546,0.001444877,0.0007157617,0.001528884,0.0008516698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009386905,0.0007385947,0.01544412,0.003843615,0.0002292416,0.00004223421,0.003982896,0.00001272477,0.000003788894,0.0006242614,0.6048371,0.3608545],"study_design_scores_gemma":[0.02306786,0.07070857,0.009878924,0.004593823,0.0003518488,0.008654835,0.006745964,0.02151537,0.00007944713,0.005582223,0.8478732,0.0009479198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7437093,0.0006109859,0.213201,0.01957203,0.006231082,0.009441756,0.0006392608,0.0001851831,0.006409375],"genre_scores_gemma":[0.4648545,0.0001455839,0.4785081,0.05066633,0.001789896,0.0001897038,0.002322682,0.0001128947,0.001410249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3599066,"threshold_uncertainty_score":0.9982018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2158618115197334,"score_gpt":0.5171428977005651,"score_spread":0.3012810861808317,"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."}}