{"id":"W2004166600","doi":"10.1136/bmj.f6959","title":"India must use research evidence to tackle high burden of cervical cancer, experts say","year":2013,"lang":"en","type":"article","venue":"BMJ","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cervical cancer; Medicine; Quarter (Canadian coin); Incidence (geometry); Cancer; Environmental health; Geography; Internal medicine","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":[0.04603232,0.001465672,0.002880693,0.004074605,0.003004297,0.01169366,0.004842591,0.01985082,0.01569314],"category_scores_gemma":[0.1624808,0.001021919,0.004655779,0.003286717,0.01074741,0.019189,0.006930902,0.03670708,0.008206313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005576505,"about_ca_system_score_gemma":0.04419728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688267,"about_ca_topic_score_gemma":0.02168302,"domain_scores_codex":[0.9717454,0.01227307,0.00364613,0.001446344,0.008550722,0.002338355],"domain_scores_gemma":[0.7268614,0.1557743,0.0123228,0.01518525,0.0729789,0.01687736],"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":[0.0001650287,0.0001420035,0.00185903,0.004575504,0.000527805,0.0002120735,0.000629902,0.0002448449,0.0002851286,0.01422382,0.8924728,0.08466195],"study_design_scores_gemma":[0.0002738254,0.0002432253,0.001982519,0.01260091,0.0005346858,0.000374551,0.002351332,0.0002476668,0.0004642587,0.05177915,0.9289782,0.0001697229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001662747,0.01344842,0.0003642693,0.9689263,0.01502683,0.00002810669,0.00009635685,0.0000577305,0.001885743],"genre_scores_gemma":[0.005917022,0.03119458,0.003846738,0.9394615,0.01728832,0.00009186733,0.0001417734,0.00005827866,0.001999869],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04603232,"threshold_uncertainty_score":0.2434451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2791303225728445,"score_gpt":0.4752786203938905,"score_spread":0.196148297821046,"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."}}