{"id":"W4362425312","doi":"10.1158/1055-9965.22438743.v1","title":"supplementary table S1 from Cervical Infection with Cutaneous Beta and Mucosal Alpha Papillomaviruses","year":2023,"lang":"en","type":"supplementary-materials","venue":"","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); BETA (programming language); Alpha (finance); Cohort; Medicine; Virology; Internal medicine; Surgery; Database; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001202026,0.001292984,0.001104289,0.00251973,0.00129773,0.00173411,0.001824581,0.001259932,0.7910591],"category_scores_gemma":[0.02302526,0.0007614949,0.0008749115,0.003883237,0.0003508801,0.001642554,0.001340982,0.00122248,0.1799279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106396,"about_ca_system_score_gemma":0.002358887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01226688,"about_ca_topic_score_gemma":0.02309994,"domain_scores_codex":[0.9987179,0.0001801016,0.0001918854,0.000405125,0.000277533,0.0002274111],"domain_scores_gemma":[0.9866073,0.007870619,0.001143089,0.001363572,0.002016843,0.0009986073],"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":[0.000256394,0.00006688233,0.003281947,0.001183385,0.00005390844,0.00007395155,0.00003485586,0.0001635712,0.0001850395,0.0006592858,0.984732,0.009308666],"study_design_scores_gemma":[0.002030749,0.0002925635,0.05620358,0.003039861,0.0002081302,0.001017199,0.0003343133,0.0009221122,0.0009949555,0.008747819,0.9261003,0.0001083671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004266755,0.0001485513,0.0002826084,0.000165035,0.0002088521,0.00009329263,0.9945092,0.0001730073,0.003992907],"genre_scores_gemma":[0.00588786,0.0004597566,0.001653743,0.0008914188,0.0002601366,0.0009298444,0.9726735,0.0004820727,0.01676161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7910591,"threshold_uncertainty_score":0.2980288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979739016684934,"score_gpt":0.3201824040433487,"score_spread":0.2903850138764994,"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."}}