{"id":"W4320916916","doi":"10.1002/hsr2.1125","title":"Cover Image, Volume 6, Issue 2","year":2023,"lang":"en","type":"paratext","venue":"Health Science Reports","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Cover (algebra); Donation; Medicine; Volume (thermodynamics); Retrospective cohort study; Image (mathematics); General surgery; Surgery; Computer science; Artificial intelligence; Political science; Engineering; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008529299,0.0008323467,0.001059905,0.00201469,0.001242456,0.005405641,0.001170211,0.00368981,0.7049709],"category_scores_gemma":[0.0145493,0.0004591754,0.0007109542,0.001772259,0.0008284482,0.002308641,0.00156636,0.003823726,0.555494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253553,"about_ca_system_score_gemma":0.001417456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003451391,"about_ca_topic_score_gemma":0.005244506,"domain_scores_codex":[0.9989517,0.0001127687,0.00006025864,0.0001005907,0.0006303646,0.0001443918],"domain_scores_gemma":[0.9921921,0.002316089,0.0004724003,0.0003742542,0.003297392,0.001347794],"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":[0.000005230305,0.000003530978,0.00001742521,0.00001044861,2.748343e-7,0.000005458907,8.523106e-7,0.000002628789,0.000007311446,0.00007374334,0.9980111,0.001861969],"study_design_scores_gemma":[0.00004996137,0.0000199105,0.0007722933,0.0002332454,0.000002176358,0.00006755255,0.00002915636,0.00008160991,0.00006451605,0.0005492715,0.9981223,0.000008080722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004683886,0.001452935,0.0005920363,0.1095929,0.2455327,0.0003479,0.01596995,0.002596689,0.6234465],"genre_scores_gemma":[0.003006527,0.001547871,0.0004020832,0.04612951,0.1172699,0.0003026352,0.005956459,0.000884713,0.8245003],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2950291,"threshold_uncertainty_score":0.4208232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745687226767512,"score_gpt":0.3953173159277598,"score_spread":0.3678604436600847,"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."}}