{"id":"W4399916188","doi":"10.1016/j.talanta.2024.126460","title":"Metaproteomic analysis from cervical biopsies and cytologies identifies proteinaceous biomarkers representing both human and microbial species","year":2024,"lang":"en","type":"article","venue":"Talanta","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Chemistry; Microbiology","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":[0.0005446782,0.0007890377,0.0007901491,0.001721858,0.0005671354,0.001181667,0.0003737277,0.0005878642,0.0008244991],"category_scores_gemma":[0.0005327894,0.0002200648,0.001108049,0.001077968,0.0002880366,0.0006022184,0.0008845309,0.000642465,0.0003753169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252048,"about_ca_system_score_gemma":0.000406539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008901139,"about_ca_topic_score_gemma":0.001399165,"domain_scores_codex":[0.9995496,0.00005922902,0.00002450347,0.0001317812,0.0001709622,0.00006386144],"domain_scores_gemma":[0.9998048,0.00003512698,0.00004070843,0.00002250503,0.00006855885,0.00002835217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003348803,0.00005693891,0.01545826,0.0002782842,0.0003004113,0.0001121998,0.0001117844,0.0002764085,0.9704092,0.0001119493,0.000181716,0.01236792],"study_design_scores_gemma":[0.00002638507,0.001044133,0.2928536,0.0001552977,0.001550843,0.002074936,0.001407404,0.01058505,0.6716142,0.001460616,0.01713641,0.00009110913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624518,0.008091056,0.01920057,0.0005088769,0.0001274363,0.000146569,0.006313398,0.0003107143,0.002849675],"genre_scores_gemma":[0.9762527,0.002229452,0.01420083,0.0004213469,0.00004275805,0.00008902471,0.00517468,0.00006427208,0.001524922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001721858,"threshold_uncertainty_score":0.002880573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447404188138643,"score_gpt":0.325119042448722,"score_spread":0.2906450005673356,"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."}}