{"id":"W4387606326","doi":"10.1097/01.tp.0000993500.46945.87","title":"P3.4: From flop to top, the growth of one Canadian OPO over 10 years using hospital based coordinators","year":2023,"lang":"en","type":"article","venue":"Transplantation","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"FLOPS; Medicine; Optometry; Computer science; Parallel computing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003122461,0.0003913127,0.0002419459,0.001253032,0.01585367,0.006380613,0.001992692,0.00233104,0.05809036],"category_scores_gemma":[0.008157939,0.0003669373,0.0004488715,0.001768518,0.00375574,0.002253863,0.005716896,0.004697427,0.005543791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04772006,"about_ca_system_score_gemma":0.1796756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9285631,"about_ca_topic_score_gemma":0.9679531,"domain_scores_codex":[0.9954939,0.0002993114,0.00007296418,0.0003200016,0.001739611,0.002074201],"domain_scores_gemma":[0.9780498,0.0004386241,0.000408013,0.0002485208,0.005199098,0.01565601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004110408,0.00006725911,0.01813529,0.0001307137,0.000007250819,0.000495597,0.006154158,0.0000790627,0.0004463796,0.00995732,0.8849784,0.07950738],"study_design_scores_gemma":[0.00001928901,0.00006385129,0.0350886,0.000311544,0.00001033443,0.0005531049,0.02307309,0.0001829959,0.0002445579,0.001173787,0.9392186,0.00006011629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08748127,0.00281473,0.003478477,0.5295255,0.01211631,0.0005406545,0.003232155,0.0009403757,0.3598706],"genre_scores_gemma":[0.4292142,0.003171017,0.005142109,0.1136712,0.001391343,0.0002785856,0.001337863,0.0007842638,0.4450095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07143694,"threshold_uncertainty_score":0.3462349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08766008436449362,"score_gpt":0.4201836589249668,"score_spread":0.3325235745604732,"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."}}