{"id":"W2153992735","doi":"10.1139/f2011-066","title":"A computational model for asynchronous oocyte growth dynamics in a batch-spawning fish","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Oocyte; Vitellogenin; Pimephales promelas; Biology; Minnow; Yolk; Endocrine disruptor; Germinal vesicle; Zoology; Fish <Actinopterygii>; Endocrinology; Ecology; Endocrine system; Fishery; Embryo; Hormone","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002736578,0.0005116428,0.0006930425,0.000336672,0.0007615987,0.0009062,0.001912631,0.0017524,0.003254961],"category_scores_gemma":[0.001186816,0.0005447875,0.000978964,0.0004531449,0.000768114,0.0006387588,0.0009676781,0.0007921057,0.0002979085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150065,"about_ca_system_score_gemma":0.002218903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03937683,"about_ca_topic_score_gemma":0.01990844,"domain_scores_codex":[0.9998868,0.00002440132,0.00000810049,0.00003128086,0.00002496852,0.00002449634],"domain_scores_gemma":[0.9995309,0.0002658028,0.00005364024,0.00002049131,0.00007491552,0.00005421392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001349539,0.000007854829,0.0005073999,0.00001096449,0.000007578687,0.00003794233,0.00001440344,0.9967782,0.0003893603,0.001484031,0.0000995353,0.0006492009],"study_design_scores_gemma":[0.000005512676,0.000003998417,0.00008351719,0.000001382233,0.000003145663,0.000005072334,0.00000523887,0.9993556,0.00005724625,0.0003471295,0.000129861,0.000002265059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4106465,0.0005285808,0.5572791,0.001225721,0.0001581731,0.0001929702,0.001777888,0.0006826203,0.02750864],"genre_scores_gemma":[0.9292826,0.0003874575,0.05930016,0.0001453511,0.00003722722,0.0005038186,0.0007635661,0.0001178008,0.009461926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03937683,"threshold_uncertainty_score":0.07829523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030002334095272,"score_gpt":0.2380660812234684,"score_spread":0.2080637471281964,"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."}}