{"id":"W4406550164","doi":"10.1016/j.yprs.2014.04.008","title":"10.1016/j.yprs.2014.04.008","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Replantation; Numerical digit; Surgery; Arithmetic","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":[0.0005262897,0.0009792281,0.000455997,0.0014804,0.0007677616,0.002187945,0.0008891908,0.003024257,0.8998268],"category_scores_gemma":[0.001316585,0.0003338824,0.0005382177,0.0006924397,0.0007703743,0.002068677,0.001024143,0.001312205,0.8330134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006658514,"about_ca_system_score_gemma":0.0009144198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001694448,"about_ca_topic_score_gemma":0.001761277,"domain_scores_codex":[0.9997426,0.00002122228,0.00002235721,0.00006971836,0.00007946225,0.00006454957],"domain_scores_gemma":[0.9991498,0.0001489304,0.0001140095,0.00004742194,0.0001760855,0.0003638195],"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":[0.0002874754,0.0002965238,0.005157069,0.0005272548,0.00003765137,0.0006127454,0.000117548,0.0002442741,0.001243172,0.005068896,0.2246862,0.7617212],"study_design_scores_gemma":[0.00005823885,0.0001569259,0.006308244,0.0009700219,0.00004047092,0.005884729,0.0003531236,0.0002900675,0.0007162745,0.004207704,0.9809862,0.00002800891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007546931,0.01276764,0.003240173,0.006535972,0.002533719,0.00009126031,0.001825636,0.001492077,0.9639665],"genre_scores_gemma":[0.01646576,0.004673846,0.002039826,0.001613463,0.0007168716,0.00006441251,0.00124067,0.0002446093,0.9729406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1001732,"threshold_uncertainty_score":0.1428849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00511708456332989,"score_gpt":0.1888021014570805,"score_spread":0.1836850168937506,"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."}}