{"id":"W4367599643","doi":"10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a6355","title":"The Missing Link : Roth Net Retriever Used For Bronchoscopic Foreign Body Extraction","year":2023,"lang":"en","type":"article","venue":"","topic":"Foreign Body Medical Cases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Link (geometry); Computer science; Extraction (chemistry); Net (polyhedron); Labrador Retriever; Computer network; Medicine; Mathematics; Chemistry; Surgery; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003274132,0.0007018332,0.001213322,0.003019236,0.000852804,0.001449053,0.0007505461,0.005052442,0.2587878],"category_scores_gemma":[0.006474385,0.0002099391,0.000838485,0.001320507,0.0003551236,0.00240643,0.0008413703,0.001560155,0.0861797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008076237,"about_ca_system_score_gemma":0.0009311936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004157164,"about_ca_topic_score_gemma":0.003970874,"domain_scores_codex":[0.9994326,0.00004951302,0.0001164612,0.00008055425,0.0001894174,0.0001313033],"domain_scores_gemma":[0.9973122,0.001080216,0.0003618129,0.0001868616,0.0007858427,0.0002730972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.0004564328,0.00017456,0.005036362,0.001403925,0.00004420295,0.02006506,0.00005904525,0.0001983971,0.000714416,0.001012894,0.8991246,0.07171005],"study_design_scores_gemma":[0.0001692782,0.0002064368,0.01421608,0.003654934,0.0002016399,0.05351985,0.0003357542,0.0008367105,0.002866973,0.002951562,0.9209485,0.00009233157],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05332768,0.03735182,0.007353143,0.112276,0.1357796,0.0007831475,0.2543568,0.005070212,0.3937016],"genre_scores_gemma":[0.2924829,0.02871531,0.008538952,0.04339051,0.04394623,0.0005280937,0.1474282,0.002135848,0.4328339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2587878,"threshold_uncertainty_score":0.8657314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888413441081689,"score_gpt":0.3410549962617588,"score_spread":0.3021708618509419,"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."}}