{"id":"W4242191385","doi":"10.1097/01.prs.0000170051.65210.f3","title":"Discussion","year":2005,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Library science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004142116,0.0002986495,0.0006909909,0.000470596,0.0001335839,0.00002767185,0.0000678979,0.0001697616,0.001297689],"category_scores_gemma":[0.001067038,0.0002029146,0.00053061,0.0003294577,0.0003813798,0.0003446327,0.0000476262,0.000345801,0.000279955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563959,"about_ca_system_score_gemma":0.000257928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006084298,"about_ca_topic_score_gemma":0.000004276141,"domain_scores_codex":[0.9981355,0.00009573512,0.0005373652,0.0005095136,0.000264017,0.0004578877],"domain_scores_gemma":[0.9978729,0.001163437,0.0001679504,0.0003690131,0.0001717756,0.0002549104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002602467,0.0001377627,0.2546262,0.000064929,0.0002370638,0.00006358183,0.00006492392,0.000001887245,0.01093983,0.000373827,0.003451231,0.7297785],"study_design_scores_gemma":[0.002086879,0.0002373923,0.4521707,0.001863798,0.0006551501,0.01552982,0.0008734503,0.0003704441,0.3499625,0.002585102,0.1717243,0.001940557],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831217,0.0002959257,0.004567188,0.0004637847,0.001192991,0.0003304908,0.00002360137,0.0003871297,0.009617213],"genre_scores_gemma":[0.9892418,0.0001303594,0.009175226,0.0001857179,0.0005275605,0.00004534375,0.00003876342,0.00004527868,0.0006099516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.727838,"threshold_uncertainty_score":0.9996153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548036635645265,"score_gpt":0.2485788929609996,"score_spread":0.2330985266045469,"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."}}