{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002171333,0.0001167891,0.000197085,0.0002490336,0.00006237768,0.00001225381,0.00003284827,0.0001519287,0.0004055322],"category_scores_gemma":[0.0001041349,0.0001098244,0.0001236741,0.0003161317,0.00009995735,0.00008800896,0.0000225934,0.0005545547,0.00001944934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004098227,"about_ca_system_score_gemma":0.0001299866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007151989,"about_ca_topic_score_gemma":0.0002871657,"domain_scores_codex":[0.9991242,0.0000284482,0.000274478,0.0002358922,0.0001311019,0.0002058876],"domain_scores_gemma":[0.9995474,0.00002336022,0.00006592975,0.0001606628,0.00009911611,0.0001035893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003426893,0.0001377808,0.5463942,0.00001864201,0.0000409287,0.00002888566,0.00007452783,0.000001988144,0.06664249,0.0005103742,0.000377036,0.3857389],"study_design_scores_gemma":[0.001439545,0.0004879006,0.2189991,0.000168732,0.000142987,0.004353769,0.0002582053,0.0001412346,0.1517738,0.0005917698,0.6210982,0.0005447885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921092,0.00005229671,0.0005052722,0.000137321,0.0005102362,0.0003365175,0.000004322399,0.0001361483,0.006208722],"genre_scores_gemma":[0.9845932,0.0001748323,0.01457466,0.0001346178,0.0001389759,0.00004490569,0.00001824859,0.00001922379,0.0003014084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6207212,"threshold_uncertainty_score":0.4478509,"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."}}