{"id":"W4411658481","doi":"10.51847/z7uwfhw","title":"10.51847/Z7uWFHW","year":2000,"lang":"en","type":"review","venue":"Time to knit","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Root (linguistics); Perforation; Medicine; Dentistry; Engineering; Philosophy; Linguistics; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003401187,0.001238689,0.0008222539,0.002095589,0.0003957434,0.001508696,0.0009775218,0.001750757,0.7771538],"category_scores_gemma":[0.0007046252,0.0003182552,0.0005980013,0.002341883,0.0004277203,0.001720852,0.001305152,0.0007873703,0.8384644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636856,"about_ca_system_score_gemma":0.0004953045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001742826,"about_ca_topic_score_gemma":0.001205193,"domain_scores_codex":[0.9997798,0.0000262788,0.00002583282,0.00004192433,0.0000793625,0.00004677175],"domain_scores_gemma":[0.999725,0.0000884965,0.00003240899,0.00002448595,0.00007599249,0.00005344863],"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":[0.00007376549,0.00009004282,0.0002532887,0.001579982,0.00001737713,0.0003229669,0.00003328933,0.00007611737,0.001193335,0.001095506,0.05113205,0.9441323],"study_design_scores_gemma":[0.00004097868,0.00009438206,0.001341412,0.001491968,0.00002510985,0.001812348,0.00006233355,0.00006002104,0.0005701474,0.0008019408,0.9936871,0.00001236219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00284396,0.08635642,0.001930655,0.00147486,0.002213847,0.0002581283,0.001642433,0.001058849,0.9022208],"genre_scores_gemma":[0.005039104,0.05462733,0.00272626,0.001448993,0.0007307149,0.0001500346,0.001903917,0.0002225925,0.9331511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2228462,"threshold_uncertainty_score":0.317863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663477066118768,"score_gpt":0.2763546170323979,"score_spread":0.2497198463712102,"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."}}