{"id":"W2312897715","doi":"10.1158/1940-6207.prev-11-a10","title":"Abstract A10: A new in silico physical optical model (iPOM) for the study of cervical intraepithelial neoplasia","year":2011,"lang":"en","type":"article","venue":"Cancer Prevention Research","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; BC Cancer Agency","funders":"","keywords":"Cervical cancer; In silico; Cervical intraepithelial neoplasia; Pathology; Medicine; Bioinformatics; Biology; Cancer; Genetics; Internal medicine","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":[0.0002561258,0.0005983947,0.0003997154,0.0004574579,0.0002631405,0.0007936626,0.0008113006,0.001160764,0.002958065],"category_scores_gemma":[0.0008939143,0.0003637803,0.0008108207,0.0003149522,0.0003677939,0.0004616479,0.0005702532,0.000470834,0.0003816861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000516367,"about_ca_system_score_gemma":0.0006581678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004564911,"about_ca_topic_score_gemma":0.002179063,"domain_scores_codex":[0.9998621,0.00003597738,0.000007311306,0.00003418914,0.00004581199,0.00001466314],"domain_scores_gemma":[0.9995725,0.0002175647,0.00005901989,0.00005882507,0.00006966224,0.00002240076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002528578,0.00003770032,0.0009420588,0.00004200231,0.00001457978,0.00006610223,0.00001919534,0.9876889,0.005282055,0.002809357,0.0003044426,0.002768271],"study_design_scores_gemma":[0.000005241687,0.00001412641,0.0001780403,0.000002055095,0.000003815755,0.00001511958,0.000003569118,0.998062,0.0006363933,0.0004416451,0.0006349066,0.000003099948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1787933,0.0002418218,0.7970356,0.0003792748,0.0001376296,0.0002990233,0.002027342,0.001214275,0.01987178],"genre_scores_gemma":[0.8311352,0.0003858373,0.1563089,0.0001408929,0.00004397679,0.0007892873,0.001528259,0.0002668308,0.009400671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004564911,"threshold_uncertainty_score":0.009895682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2983478444102007,"score_gpt":0.4934900005882836,"score_spread":0.1951421561780829,"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."}}