{"id":"W4416663907","doi":"10.1101/2025.11.22.688293","title":"Mapping embryonic mouse lung development using enhanced spatial transcriptomics","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Princeton University; Canadian Federation of University Women; American Heart Association; National Institutes of Health; National Science Foundation","keywords":"Embryonic stem cell; Extracellular matrix; Transcriptome; Lung; Progenitor cell; Mesenchymal stem cell; Fate mapping; Embryogenesis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004031542,0.0003240807,0.0002979815,0.0004895336,0.0002211818,0.0004777912,0.000369103,0.0004374887,0.001518566],"category_scores_gemma":[0.0001866419,0.0003786467,0.0003088956,0.0003822872,0.0004266705,0.0002781428,0.0005089777,0.0006668749,0.0008361843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003940715,"about_ca_system_score_gemma":0.000314441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007693886,"about_ca_topic_score_gemma":0.002018302,"domain_scores_codex":[0.9997188,0.00002024569,0.00001432325,0.00009959047,0.0001158853,0.00003118968],"domain_scores_gemma":[0.999862,0.00003995816,0.00003588476,0.00002474676,0.00002350321,0.00001397689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001994304,0.000003412984,0.0002589197,0.00003739156,0.000004561393,0.00002443006,0.00001463793,0.0006883427,0.9952958,0.0005463049,0.0001215492,0.002984742],"study_design_scores_gemma":[0.00001163912,0.00004127177,0.006397005,0.00001747892,0.0000146769,0.000138477,0.00002380313,0.01228589,0.9711303,0.0007409302,0.009181026,0.00001743906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4852236,0.001948276,0.4829323,0.0004622872,0.0001285491,0.00014401,0.01652504,0.004308075,0.008327914],"genre_scores_gemma":[0.6151659,0.002830787,0.3600329,0.0004457707,0.00005103981,0.0005543144,0.008528901,0.001237367,0.01115299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001518566,"threshold_uncertainty_score":0.005080163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502172873268806,"score_gpt":0.2215438112994403,"score_spread":0.2065220825667522,"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."}}