{"id":"W2609292269","doi":"10.2527/asasann.2017.750","title":"750 Animal models to study germ line stem cells and spermatogenesis","year":2017,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Stem cell; Biology; Cell biology; Adult stem cell; Germline; Niche; Stem cell theory of aging; Spermatogenesis; Germ cell; Progenitor cell; Cellular differentiation; Stem cell factor; Genetics; Gene; Ecology; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007658735,0.0001093084,0.0001504899,0.00006808353,0.000439359,0.0001816547,0.0005234333,0.00004285477,0.000003368661],"category_scores_gemma":[0.00002794488,0.00008427702,0.0000514881,0.00007696661,0.0002117266,0.00003226547,0.0003498147,0.0000714925,0.000002556362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001268153,"about_ca_system_score_gemma":0.0001085544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009175746,"about_ca_topic_score_gemma":0.000004953541,"domain_scores_codex":[0.998871,0.00001949572,0.0002549049,0.0003226885,0.0003249587,0.0002069903],"domain_scores_gemma":[0.9988759,0.000002549655,0.0002794046,0.000319524,0.00030973,0.0002129541],"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":[0.0002697587,0.0001039975,0.003194579,0.000002896075,0.00001370828,0.00001295579,0.0001341494,0.0001080571,0.9923934,0.00001927632,0.00005709348,0.003690158],"study_design_scores_gemma":[0.0003106313,0.005637689,0.08371279,0.00000917469,0.00002518181,0.000153779,0.0003832456,0.0003058067,0.9085214,0.00001729017,0.0007806503,0.0001423446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985424,0.0002948621,0.0003420419,0.000255975,0.0001712258,0.0001250864,0.000002755161,0.000001831048,0.000263772],"genre_scores_gemma":[0.9981689,0.0001637696,0.001041308,0.00005198677,0.000412492,8.943166e-7,6.864366e-8,0.000008714467,0.0001518914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08387195,"threshold_uncertainty_score":0.3436717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04034371840227205,"score_gpt":0.3021489590000941,"score_spread":0.2618052405978221,"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."}}