{"id":"W4248204465","doi":"10.1007/s00266-002-4315-5","title":"Patient Selection","year":2002,"lang":"en","type":"article","venue":"Aesthetic Plastic Surgery","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Otorhinolaryngology; Plastic surgery; Selection (genetic algorithm); General surgery; Surgery; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004106385,0.0001394846,0.0002891132,0.000134784,0.0004655461,0.000004959718,0.00004468069,0.000217483,0.001918001],"category_scores_gemma":[0.0005068378,0.0001182773,0.00007805094,0.0002009105,0.00002749753,0.00005329707,0.00002256441,0.0004241455,0.003346101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156552,"about_ca_system_score_gemma":0.0001039589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001998904,"about_ca_topic_score_gemma":0.0001115868,"domain_scores_codex":[0.9978543,0.0005132385,0.0005706164,0.0002387429,0.0002549778,0.0005681125],"domain_scores_gemma":[0.9968369,0.002497076,0.0001762979,0.0001813975,0.0001141991,0.0001941372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004601055,0.0003667788,0.157763,0.0006118456,0.00003297384,0.0001006771,0.01060924,0.00003163669,0.000068982,0.002623025,0.4932165,0.3345294],"study_design_scores_gemma":[0.0004169633,0.0002205073,0.03442244,0.001119924,0.00002166926,0.0001543974,0.004378881,0.002332929,0.00001558884,0.0002408527,0.9561386,0.0005372305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825334,0.0007010081,0.0001397856,0.00208201,0.004459212,0.0002807038,0.000005386245,0.0002279841,0.009570534],"genre_scores_gemma":[0.9980074,0.0002025393,0.0000228327,0.0004578218,0.0002575091,0.0001395685,0.000003320692,0.00002846636,0.0008805959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4629222,"threshold_uncertainty_score":0.9989944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077995403269366,"score_gpt":0.3444850597616542,"score_spread":0.2366855194347177,"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."}}