{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007141046,0.0005964396,0.00058451,0.001655851,0.001249511,0.003583058,0.001080155,0.002036956,0.176481],"category_scores_gemma":[0.003222539,0.0002573566,0.0006806922,0.001613213,0.0008328997,0.002432982,0.002328398,0.00251336,0.1006908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125649,"about_ca_system_score_gemma":0.001884475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002977083,"about_ca_topic_score_gemma":0.002986748,"domain_scores_codex":[0.9989746,0.000139656,0.00008238942,0.0001917075,0.0003953819,0.0002162667],"domain_scores_gemma":[0.9990149,0.0001309233,0.00009859155,0.0001151954,0.0004259847,0.0002143997],"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":[0.0001318144,0.00005696015,0.003227069,0.0006092251,0.00002580085,0.002494842,0.0003538194,0.0001098359,0.001027273,0.01793771,0.6080275,0.3659983],"study_design_scores_gemma":[0.00001559998,0.00002028808,0.0007778623,0.0002384977,0.00001026191,0.005577226,0.0001184473,0.00003302428,0.0002290746,0.002925959,0.9900462,0.000007469978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00984857,0.08558698,0.008002746,0.03761549,0.01977833,0.0004986592,0.007135886,0.003486806,0.8280466],"genre_scores_gemma":[0.09777384,0.07838902,0.008067398,0.05587452,0.01204164,0.0004016801,0.0139419,0.001189223,0.7323208],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.176481,"threshold_uncertainty_score":0,"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."}}