{"id":"W4387083335","doi":"10.1097/01.eem.0000554838.78507.39","title":"News","year":2019,"lang":"en","type":"article","venue":"Emergency Medicine News","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001491918,0.0002986108,0.0006387351,0.0001774429,0.00007729825,0.000001224464,0.0001477155,0.0001003294,0.0564278],"category_scores_gemma":[0.0002024027,0.0002116831,0.0002102045,0.0005356034,0.00007182628,0.00008485129,0.00005413852,0.0002662548,0.002642769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000439564,"about_ca_system_score_gemma":0.00005783829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194449,"about_ca_topic_score_gemma":0.0003163865,"domain_scores_codex":[0.9977901,0.000034078,0.0006947282,0.0004755902,0.0005333376,0.0004721516],"domain_scores_gemma":[0.9987636,0.00002483982,0.0001086426,0.00065047,0.0001818751,0.0002705409],"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":[0.00009541857,0.0000781979,0.3291819,0.0001654078,0.0001346187,0.00001410064,0.00112932,0.00000166908,0.006592412,0.0006253761,0.6483674,0.01361418],"study_design_scores_gemma":[0.001847667,0.0008531821,0.1652947,0.0001328509,0.0001784422,0.00002776626,0.002454935,0.00001820827,0.000177872,0.0002962497,0.828458,0.0002601253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4028623,0.004322634,0.00005679542,0.01021266,0.008118066,0.0005143367,0.000002357202,0.0001758062,0.5737351],"genre_scores_gemma":[0.8717659,0.005904538,0.0001841166,0.001238445,0.002939221,0.00003976879,0.0000457763,0.00006524075,0.1178171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4689036,"threshold_uncertainty_score":0.9981338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018322978033928,"score_gpt":0.3340752388541189,"score_spread":0.2938920090737797,"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."}}