{"id":"W4408560711","doi":"10.46747/cfp.7103177","title":"High-rebound sponge as a simulation tool for perineal suture","year":2025,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Undergraduate Education; Fujian Medical University","keywords":"Sponge; Fibrous joint; Computer science; Perineum; Data science; Medicine; Surgery; Geology; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002027486,0.0005381448,0.0004211835,0.000662976,0.0003563221,0.00078877,0.001053833,0.0007620009,0.01621114],"category_scores_gemma":[0.008146087,0.0001690885,0.0009369529,0.0002541329,0.0003247351,0.0004943746,0.0009550392,0.0008384686,0.001443932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005412326,"about_ca_system_score_gemma":0.001440258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584319,"about_ca_topic_score_gemma":0.007839575,"domain_scores_codex":[0.9985129,0.001014986,0.00006752661,0.0000597968,0.0002770741,0.00006768826],"domain_scores_gemma":[0.9971492,0.002079158,0.0001819272,0.0001062904,0.0001352835,0.0003482251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01048455,0.01413444,0.01242717,0.01991321,0.0007261973,0.002642693,0.002698671,0.02267465,0.006714773,0.005608587,0.054869,0.8471061],"study_design_scores_gemma":[0.02297563,0.1012617,0.05043017,0.05125224,0.005107319,0.01004025,0.005170116,0.155723,0.0240518,0.01819441,0.5545408,0.001252588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.650627,0.05296603,0.109003,0.01500335,0.004942703,0.01064,0.004417664,0.004600533,0.1477998],"genre_scores_gemma":[0.8579672,0.01776649,0.1109589,0.001487652,0.0004583865,0.002769606,0.0008715342,0.0001661672,0.007553967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01621114,"threshold_uncertainty_score":0.05423158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283847871915685,"score_gpt":0.2719058350798316,"score_spread":0.2590673563606748,"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."}}