{"id":"W6994229801","doi":"","title":"Lymphoma","year":2017,"lang":"en","type":"other","venue":"Electronic Kharkiv National University Institutional Repository (Kharkiv National University)","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lymphoma; Disease; Cancer; Multiple myeloma; Etiology; Incidence (geometry); Lymph; Hodgkin lymphoma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006177393,0.0004915173,0.0004194478,0.001952436,0.004683297,0.0002601709,0.001482218,0.0008460515,0.0007890871],"category_scores_gemma":[0.0003774774,0.0006659168,0.0003973629,0.0009270554,0.001787382,0.001528367,0.0001937205,0.0001536643,0.00007004313],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008812138,"about_ca_system_score_gemma":0.01752994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009624567,"about_ca_topic_score_gemma":0.007458542,"domain_scores_codex":[0.9947042,0.0003660388,0.0002766991,0.0009262242,0.002987181,0.0007396038],"domain_scores_gemma":[0.9966341,0.0002047254,0.0008230808,0.0003301218,0.00166539,0.0003425839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007570823,0.0001756813,0.0001246259,0.00002136382,0.0002962273,0.0001027904,0.00008767555,0.0001976044,0.00001451668,0.6649805,0.3336144,0.0003088937],"study_design_scores_gemma":[0.001425982,0.00002951302,0.0002461744,0.0001762467,0.0001143945,0.00003334773,0.0001942039,0.0001437809,0.00001513188,0.002602731,0.9943144,0.0007041488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001522008,0.0003069753,0.001123044,0.0005790687,0.001166858,0.0005474102,0.0004617332,0.0004892289,0.9951735],"genre_scores_gemma":[0.03642874,0.0009216944,0.0001410056,0.0001027945,0.001768905,0.0000014173,0.00127753,0.0001054089,0.9592525],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6623778,"threshold_uncertainty_score":0.9995792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141302780408537,"score_gpt":0.2289176678795228,"score_spread":0.2175046400754374,"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."}}