{"id":"W2090853047","doi":"10.1097/aog.0b013e3181db9bf6","title":"Cervical Cytology Screening","year":2010,"lang":"en","type":"article","venue":"Obstetrics and Gynecology","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bulletin of Medical History","funders":"","keywords":"Medicine; Cytology; Gynecology; Cervical screening; Obstetrics; Cervical cancer; Pathology; Internal medicine; Cancer","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":[0.0007480918,0.0004204983,0.0007050504,0.001233326,0.001214518,0.000571445,0.000531328,0.001596696,0.09485151],"category_scores_gemma":[0.004577422,0.0002238629,0.0005990669,0.0007035966,0.0002544738,0.0004940065,0.0005631665,0.001638091,0.01551075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008380381,"about_ca_system_score_gemma":0.001984563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007185401,"about_ca_topic_score_gemma":0.01042684,"domain_scores_codex":[0.9992517,0.0001326284,0.000052048,0.0001895293,0.0002251403,0.0001489954],"domain_scores_gemma":[0.998902,0.0001920969,0.00006201033,0.0001122188,0.0003918968,0.000339802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008900471,0.001279308,0.09903805,0.0007393612,0.0001298192,0.01541384,0.000316604,0.000192932,0.006495018,0.002320621,0.5312092,0.341975],"study_design_scores_gemma":[0.0003020848,0.001573628,0.1481052,0.001768594,0.0002559541,0.03892405,0.0007756022,0.0010496,0.005319037,0.00328087,0.7985473,0.00009807564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09444033,0.02206866,0.007443826,0.120575,0.01049185,0.004734685,0.01475797,0.001083182,0.7244045],"genre_scores_gemma":[0.4723932,0.01715498,0.007669699,0.06309356,0.003673454,0.001242504,0.0094774,0.0002371594,0.425058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09485151,"threshold_uncertainty_score":0.3173099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618520564170907,"score_gpt":0.3187269724173847,"score_spread":0.2925417667756757,"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."}}