{"id":"W2035870644","doi":"10.3928/01477447-20100104-10","title":"Stringent Patient Selection in Bulk Allograft Reconstructions","year":2010,"lang":"en","type":"article","venue":"Orthopedics","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Selection (genetic algorithm); Surgery; Orthopedic surgery; Artificial intelligence","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":[0.001323429,0.0002805109,0.0003418022,0.0003056378,0.0004317895,0.0004400348,0.0001851805,0.0002878922,0.001457867],"category_scores_gemma":[0.003544351,0.0001190971,0.0002368271,0.000260821,0.0003531092,0.0002752395,0.0005469525,0.0004142665,0.0002085072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006483,"about_ca_system_score_gemma":0.0002630271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008261809,"about_ca_topic_score_gemma":0.0002379203,"domain_scores_codex":[0.9992959,0.0003381125,0.00007978485,0.00007581259,0.00009388482,0.0001164056],"domain_scores_gemma":[0.9983349,0.000710277,0.0004768531,0.0001034631,0.00005133442,0.0003231444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00141385,0.0005264977,0.9133451,0.0001328569,0.00005599289,0.00891062,0.0005720448,0.001168991,0.008997316,0.0004444191,0.000993075,0.06343914],"study_design_scores_gemma":[0.0002246314,0.01206273,0.8875134,0.0001672644,0.0001293614,0.08010004,0.001563646,0.005999445,0.00689176,0.001462545,0.003822549,0.00006271063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977842,0.0002423236,0.0009637222,0.0001262767,0.00002525807,0.00003301104,0.00001299641,0.00001030985,0.000801919],"genre_scores_gemma":[0.9987335,0.00009063465,0.0008033582,0.0001258119,0.00008810395,0.00002771394,0.00004020792,0.000004672269,0.00008612969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457867,"threshold_uncertainty_score":0.006999075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006654681204313438,"score_gpt":0.243813837236646,"score_spread":0.2371591560323326,"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."}}