{"id":"W4292241807","doi":"10.1016/j.kint.2022.06.014","title":"War in Ukraine","year":2022,"lang":"en","type":"letter","venue":"Kidney International","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Ukrainian; Political science; Medicine; Family medicine","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":["research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004684984,0.0002247097,0.0003522634,0.0003949253,0.000414746,0.000004381718,0.0005580646,0.0004869453,0.04769225],"category_scores_gemma":[0.001056002,0.0002200059,0.00009292956,0.0001522275,0.00003616256,0.00005311952,0.0004204356,0.005142323,0.001327534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007992288,"about_ca_system_score_gemma":0.00124571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201788,"about_ca_topic_score_gemma":0.00003669464,"domain_scores_codex":[0.9972854,0.0003042133,0.0007240715,0.0003807521,0.0006606331,0.0006449578],"domain_scores_gemma":[0.9987155,0.0004775724,0.0002643483,0.0002626691,0.0001369845,0.0001428913],"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":[0.0000216142,0.00001685424,0.002442383,0.0001760839,0.000057663,0.0001951766,0.00434624,3.552798e-7,7.948784e-7,0.0001417262,0.9923469,0.0002542145],"study_design_scores_gemma":[0.0007063652,0.0000262557,0.0008852139,0.0001680801,0.000007803361,0.000002638769,0.0002460447,0.00003028923,1.61832e-7,0.00009662285,0.997647,0.0001834673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00005506536,0.0001505186,0.000005178213,0.8309489,0.007567765,0.0004336014,0.0007943482,0.00006793263,0.1599767],"genre_scores_gemma":[0.0000710743,0.000308958,0.00007238951,0.9006712,0.008728934,0.0009326042,0.002740361,0.00004232758,0.08643214],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07354452,"threshold_uncertainty_score":0.99945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0737471391982932,"score_gpt":0.4306327440791835,"score_spread":0.3568856048808903,"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."}}