{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001410646,0.00101792,0.001071537,0.001888767,0.0008228014,0.002378109,0.001601853,0.001541271,0.06377193],"category_scores_gemma":[0.004560906,0.0007452673,0.001037537,0.001159425,0.0008826484,0.001634942,0.001816692,0.001947079,0.04140694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586783,"about_ca_system_score_gemma":0.0008824323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005363301,"about_ca_topic_score_gemma":0.000359491,"domain_scores_codex":[0.9977035,0.0002477763,0.0001866499,0.0003334243,0.00136864,0.0001600752],"domain_scores_gemma":[0.9985936,0.0003591039,0.0001765227,0.0002815173,0.0003916323,0.0001975833],"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":[0.001325149,0.0003160125,0.002081019,0.003024933,0.0001435241,0.001421707,0.000309853,0.0009891457,0.06672043,0.03005029,0.253892,0.639726],"study_design_scores_gemma":[0.00008851938,0.0002881036,0.0008678305,0.0002280276,0.00006314978,0.003506227,0.00003389082,0.0005499835,0.02702094,0.001805911,0.9655032,0.00004422709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04032299,0.1396373,0.2669912,0.00759788,0.01920224,0.002630647,0.015946,0.03639807,0.4712737],"genre_scores_gemma":[0.2321332,0.08167592,0.1515736,0.009785034,0.002967791,0.002511633,0.02326745,0.005942212,0.4901431],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06377193,"threshold_uncertainty_score":0,"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."}}