{"id":"W2996118490","doi":"10.1371/journal.pone.0226261","title":"When risk becomes illness: The personal and social consequences of cervical intraepithelial neoplasia medical surveillance","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Xunta de Galicia; Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia","keywords":"Thematic analysis; Medicine; Cervical cancer; Qualitative research; Cervical intraepithelial neoplasia; Nonprobability sampling; Health care; Medical record; Family medicine; Gynecology; Disease; Cancer; Surgery; Pathology; Internal medicine; Environmental health; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005216772,0.0003858809,0.0004314705,0.0008164568,0.007246729,0.005102902,0.0008801433,0.001668908,0.00191522],"category_scores_gemma":[0.01225428,0.0003130274,0.00043037,0.0006705138,0.01242487,0.004261566,0.006716653,0.002839942,0.0001341133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004005173,"about_ca_system_score_gemma":0.003534262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0045363,"about_ca_topic_score_gemma":0.006146802,"domain_scores_codex":[0.9905605,0.007432576,0.0001820085,0.0002637308,0.0006277202,0.0009334602],"domain_scores_gemma":[0.9893509,0.007172604,0.001263212,0.0002794052,0.0005249125,0.001408921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004051212,0.00002797914,0.007342387,0.0001143158,0.00001241415,0.0009454733,0.9821534,0.00003796235,0.0003497521,0.002412257,0.0009188419,0.005644807],"study_design_scores_gemma":[0.000004983881,0.00005185108,0.004681895,0.0001266269,0.000009637763,0.0006544819,0.9840969,0.0000448803,0.0001048949,0.0007767763,0.009430207,0.00001688234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96389,0.002496271,0.0008378298,0.01946991,0.0002334045,0.0000495187,0.00006272664,0.00002140263,0.01293909],"genre_scores_gemma":[0.9977977,0.0006233357,0.0001572027,0.0008231669,0.00003921568,0.00001958997,0.00001279397,0.000005670504,0.0005213885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007246729,"threshold_uncertainty_score":0.02905977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325397064221577,"score_gpt":0.2789426640722645,"score_spread":0.2456886934300488,"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."}}