{"id":"W7009430037","doi":"","title":"Eliminating cervical cancer 'well within our sights'","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cervical cancer; Cohort; Cervical screening; Cancer; Cohort study; Vaccination; Cervical cancer screening","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":[0.001029051,0.0005357353,0.0003106093,0.0007565561,0.002650928,0.002604695,0.0007302208,0.002783574,0.1772689],"category_scores_gemma":[0.006758052,0.0002553538,0.0005294868,0.0004705745,0.0008771924,0.001902645,0.00195356,0.003067392,0.05491729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479634,"about_ca_system_score_gemma":0.004998021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05013431,"about_ca_topic_score_gemma":0.1448617,"domain_scores_codex":[0.9990113,0.0001275229,0.00002735685,0.00006285009,0.0004775645,0.0002934269],"domain_scores_gemma":[0.9970938,0.0002795565,0.00007236591,0.0001371787,0.0007715049,0.001645565],"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":[0.000006403697,0.00001250313,0.0001533992,0.00003643534,9.940374e-7,0.00002872668,0.00005249717,0.000002704858,0.00007374009,0.0006596952,0.9699696,0.02900326],"study_design_scores_gemma":[0.000006713007,0.00001656868,0.0008890695,0.00007477978,0.000001936841,0.0000509269,0.0001222396,0.000003705931,0.00004817002,0.0002126827,0.9985698,0.000003335105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002450695,0.01795091,0.000483828,0.402853,0.06141733,0.0001281041,0.001748582,0.001078178,0.5118893],"genre_scores_gemma":[0.01179878,0.01259137,0.00110995,0.1361198,0.008864999,0.00006633909,0.00103478,0.000407286,0.8280068],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1772689,"threshold_uncertainty_score":0.5930237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008620737041878672,"score_gpt":0.2199969070505666,"score_spread":0.2113761700086879,"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."}}