{"id":"W4399121037","doi":"10.1038/s41467-024-48910-0","title":"Mucus production, host-microbiome interactions, hormone sensitivity, and innate immune responses modeled in human cervix chips","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Reproductive tract infections research","field":"Immunology and Microbiology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Harvard University; Bill and Melinda Gates Foundation","keywords":"Microbiome; Mucus; Innate immune system; Host (biology); Immune system; Cervical mucus; Hormone; Biology; Immunology; Cervix; Bioinformatics; Cancer; Endocrinology; Genetics; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001449244,0.0002330806,0.0002868941,0.001115359,0.0007422739,0.0001117422,0.0004402601,0.0003993447,0.00004778148],"category_scores_gemma":[0.0008163368,0.0002263754,0.00008578835,0.001208419,0.000657398,0.0004966505,0.0006502038,0.00343583,0.0001863507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214497,"about_ca_system_score_gemma":0.0001185273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004561666,"about_ca_topic_score_gemma":0.001761888,"domain_scores_codex":[0.9972284,0.00134735,0.0004408259,0.0005837354,0.00005896488,0.000340757],"domain_scores_gemma":[0.9969164,0.0007172037,0.00007900976,0.001934831,0.0003254367,0.00002716378],"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":[0.00008922195,0.0003832319,0.001270462,0.0000258266,0.0001830106,0.000007068171,0.0007490738,0.000008855599,0.9875987,0.005096699,0.002686309,0.001901584],"study_design_scores_gemma":[0.001449778,0.0002965496,0.3786153,0.0004327939,0.0001599512,0.002735675,0.001125737,0.000327623,0.2893121,0.001520246,0.3229895,0.001034728],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9030276,0.07805986,0.00003046245,0.01592394,0.0007345913,0.0007121707,0.0000854565,0.000314013,0.001111903],"genre_scores_gemma":[0.9921756,0.003021491,0.0002878581,0.00004368445,0.00005346458,0.0001511666,0.0003833432,0.00003946483,0.003843944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6982865,"threshold_uncertainty_score":0.9988633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911936865987109,"score_gpt":0.3525974393701592,"score_spread":0.3234780707102882,"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."}}