{"id":"W2965808625","doi":"10.1111/1759-7714.13157","title":"Drainage tube hole suture improvement: Removal‐free stitches","year":2019,"lang":"en","type":"article","venue":"Thoracic Cancer","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Fibrous joint; Drainage; Tube (container); Surgery; Mechanical engineering","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":[0.0007101406,0.0005145101,0.0006102336,0.0009430139,0.00024576,0.0003444883,0.0004238567,0.000367368,0.001470168],"category_scores_gemma":[0.001817276,0.0001954414,0.0008766781,0.000421918,0.0004079439,0.000650562,0.0004332227,0.0008205653,0.0001926734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256339,"about_ca_system_score_gemma":0.0002325606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001804864,"about_ca_topic_score_gemma":0.0003853872,"domain_scores_codex":[0.9993338,0.0001607578,0.0001075855,0.0001038936,0.0002100343,0.00008387126],"domain_scores_gemma":[0.9987339,0.0003949649,0.0005053723,0.0001650319,0.00008742369,0.000113232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01127322,0.008023408,0.06786212,0.002584675,0.0005863429,0.00440551,0.000951689,0.0008474019,0.1676109,0.0002934993,0.0006910617,0.7348703],"study_design_scores_gemma":[0.003968053,0.1724893,0.6173549,0.0007746621,0.001738033,0.0341744,0.0009546457,0.003553152,0.1443106,0.0004274131,0.02007393,0.0001808819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896805,0.003994155,0.004842832,0.0001182003,0.0001179739,0.000146796,0.00003288294,0.00008543847,0.0009811791],"genre_scores_gemma":[0.9857556,0.002560659,0.01040417,0.0001071849,0.0002759386,0.0000916034,0.00009959437,0.00001665129,0.0006886044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001470168,"threshold_uncertainty_score":0.004918218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435744533097591,"score_gpt":0.3113246351620205,"score_spread":0.2969671898310445,"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."}}