{"id":"W6902472007","doi":"10.6084/m9.figshare.8202656.v1","title":"Additional file 2: of The effectiveness of TDF versus ETV on incidence of HCC in CHB patients: a meta analysis","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Incidence (geometry); Quality (philosophy); Quality assessment; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007075229,0.001969664,0.004200451,0.002548142,0.0007146486,0.002017298,0.002681164,0.001593358,0.6921382],"category_scores_gemma":[0.07188549,0.001302813,0.01078688,0.004136812,0.0003949736,0.002773266,0.00108679,0.001667098,0.02156406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658022,"about_ca_system_score_gemma":0.002531568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009578099,"about_ca_topic_score_gemma":0.01518862,"domain_scores_codex":[0.9973019,0.001047249,0.0005243148,0.0004513312,0.0004227312,0.0002523615],"domain_scores_gemma":[0.9442538,0.04869609,0.003151277,0.001449193,0.00201209,0.0004376536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01707871,0.0004086251,0.01225944,0.349673,0.02976755,0.0003472217,0.0003073461,0.004588091,0.0005358022,0.00348841,0.5551401,0.02640565],"study_design_scores_gemma":[0.3209507,0.005370136,0.117235,0.08746267,0.1268986,0.001765808,0.0009013802,0.01730535,0.002500788,0.02470409,0.2939257,0.0009797093],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001608723,0.001267192,0.001170271,0.0005767359,0.0001772594,0.001275081,0.9924992,0.000255517,0.001169981],"genre_scores_gemma":[0.1816447,0.005380062,0.03375617,0.006279243,0.001346491,0.07303185,0.6538491,0.001849037,0.0428634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6921382,"threshold_uncertainty_score":0.4391275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470751150614048,"score_gpt":0.2678715482703192,"score_spread":0.2431640367641787,"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."}}