{"id":"W4382794101","doi":"10.1016/j.celrep.2023.112737","title":"Dissecting the spermatogonial stem cell niche using spatial transcriptomics","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Cecil H. and Ida Green Center for Reproductive Biology Sciences; National Institutes of Health","keywords":"Biology; Niche; Stem cell; Cell biology; Stem cell niche; Transcriptome; Ecological niche; Computational biology; Genetics; Gene; Progenitor cell; Gene expression; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003087628,0.0001328585,0.0001780415,0.00006101346,0.0001773727,0.00003222595,0.00003848562,0.00008513768,0.00007478802],"category_scores_gemma":[0.00004790851,0.00009389818,0.0001358445,0.0002176298,0.00003574787,0.00004254339,0.00002411295,0.0002072289,0.00004153695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005611734,"about_ca_system_score_gemma":0.0001005279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000161235,"about_ca_topic_score_gemma":0.00001237339,"domain_scores_codex":[0.9988539,0.00002267134,0.0003325945,0.0002624639,0.0002722402,0.0002560891],"domain_scores_gemma":[0.9992656,0.000057168,0.0001381798,0.0003682299,0.00007802522,0.00009279385],"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":[0.0000959912,0.0001823496,0.1880215,0.000342453,0.00005276809,0.007021438,0.002697974,0.0008494224,0.7936596,0.00001188916,0.002054846,0.005009809],"study_design_scores_gemma":[0.001716188,0.0002346454,0.09878717,0.0002050495,0.0009840301,0.007137435,0.003272916,0.04554367,0.816817,0.0001937053,0.02448486,0.0006233052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988811,0.0001359629,0.0007690393,0.0001011394,0.002378511,0.0003096315,9.879003e-7,0.000186058,0.007307658],"genre_scores_gemma":[0.9961994,0.00001414145,0.0000662639,0.00009188539,0.0006611489,0.000005890412,0.00002395567,0.00003707144,0.002900219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08923428,"threshold_uncertainty_score":0.3829057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857710811854458,"score_gpt":0.2558129342472895,"score_spread":0.2272358261287449,"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."}}