{"id":"W6884556711","doi":"10.1051/ject/1971033010/pdf","title":"Haemostats","year":2023,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Hemostasis and retained surgical items","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.000238008,0.0001834915,0.0004855399,0.000747454,0.0000852424,0.000008095491,0.0002185413,0.0003935385,0.00006276605],"category_scores_gemma":[0.0003305721,0.0001454901,0.0001718636,0.001716667,0.0004888667,0.00008111134,0.0002090741,0.0004578317,0.0004050719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003640967,"about_ca_system_score_gemma":0.0001149755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001547518,"about_ca_topic_score_gemma":0.000004227638,"domain_scores_codex":[0.9985594,0.000006325788,0.0004228977,0.000340222,0.0002572975,0.0004138694],"domain_scores_gemma":[0.9990197,0.00001771125,0.0001001024,0.0006100891,0.000125487,0.0001268519],"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":[0.0001471803,0.0003441482,0.05859869,0.0005473737,0.0004480009,0.001351451,0.0001345934,0.00007591608,0.08348235,0.08394402,0.006737842,0.7641885],"study_design_scores_gemma":[0.001246988,0.000222212,0.01032522,0.0003004621,0.00006408765,0.00008143255,0.00006572215,0.000349263,0.06909507,0.00161565,0.9164084,0.0002255628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602199,0.0003957947,0.0001716551,0.02251991,0.0007838848,0.0003706115,0.00001031718,0.001208039,0.01431993],"genre_scores_gemma":[0.9916419,0.0005268113,0.005071762,0.0002281992,0.0001908083,0.00002471916,0.00002945617,0.00003480748,0.002251568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9096705,"threshold_uncertainty_score":0.5932915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100049179785553,"score_gpt":0.2893692879039511,"score_spread":0.2583687961060955,"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."}}