{"id":"W4245632238","doi":"10.5489/cuaj.3991","title":"Poster Session 10: Transplantation","year":2016,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Transplantation; Computer science; Medicine; World Wide Web; Internal medicine","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":[],"category_scores_codex":[0.001311422,0.001287041,0.0008027488,0.001087426,0.001382013,0.003084742,0.001053555,0.003336014,0.5859973],"category_scores_gemma":[0.001979815,0.0003448987,0.001022525,0.0005067373,0.0003751792,0.001335555,0.002355958,0.003208402,0.3114872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008319498,"about_ca_system_score_gemma":0.001211642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004766712,"about_ca_topic_score_gemma":0.001067274,"domain_scores_codex":[0.9992324,0.0001415661,0.00006148499,0.0001742421,0.0002142446,0.0001760188],"domain_scores_gemma":[0.998163,0.0001641845,0.00008307052,0.0001000734,0.0005711932,0.0009184473],"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":[0.0002983412,0.0001549336,0.0004373845,0.0002938251,0.00001081309,0.0001617775,0.00003256383,0.00004915712,0.0004683179,0.0006031861,0.9343458,0.06314398],"study_design_scores_gemma":[0.00007090638,0.0001685272,0.001647649,0.0002635623,0.00001105735,0.0002879615,0.00005618182,0.00005956004,0.0003202287,0.0006868728,0.9964173,0.00001025767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005623705,0.0121143,0.002617229,0.04572741,0.2644276,0.001366556,0.004835147,0.002126182,0.6611618],"genre_scores_gemma":[0.01452367,0.006425174,0.001052942,0.006990289,0.08181442,0.000383762,0.002538306,0.0004501088,0.8858214],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5859973,"threshold_uncertainty_score":0.5905246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054707225930491,"score_gpt":0.2402553494437715,"score_spread":0.2297082771844666,"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."}}