{"id":"W7131870294","doi":"10.5376/ijmms.2024.14.0028","title":"Early Screening and Prevention Strategies for Cervical Cancer Based on Genetic Markers","year":2024,"lang":"","type":"article","venue":"International Journal of Molecular Medical Science","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cervical cancer; Genetic marker; Disease; Cancer; MEDLINE; Genotype; Cervical screening","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007808275,0.0003956783,0.0005752071,0.001051221,0.0003937476,0.0008924748,0.0004247002,0.0009408954,0.002726188],"category_scores_gemma":[0.0028033,0.0002108557,0.0004215727,0.0005561867,0.0002323501,0.0008719699,0.0003960392,0.001284801,0.0003670468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005233727,"about_ca_system_score_gemma":0.001209799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971795,"about_ca_topic_score_gemma":0.003774232,"domain_scores_codex":[0.9995613,0.0001551284,0.00002467546,0.00006946588,0.0001239801,0.00006558908],"domain_scores_gemma":[0.9993369,0.0002636829,0.0001277533,0.00003663593,0.0001478774,0.00008723604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001074069,0.002001684,0.3668337,0.001126512,0.0001988656,0.0008381229,0.0004927519,0.001625822,0.01916429,0.005220506,0.009477883,0.5919459],"study_design_scores_gemma":[0.0001949525,0.00384141,0.8670245,0.002732976,0.001425822,0.003684072,0.002162739,0.01020923,0.01624393,0.02335101,0.06898708,0.0001421648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6896963,0.1732418,0.05225786,0.03723212,0.002084944,0.0008482195,0.00240669,0.0005808738,0.04165113],"genre_scores_gemma":[0.9443442,0.02856111,0.01759714,0.002181708,0.0006685838,0.000204473,0.0007776675,0.00002243242,0.005642798],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002971795,"threshold_uncertainty_score":0.009120047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045123920239049,"score_gpt":0.4111689243593135,"score_spread":0.3807176851569229,"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."}}