{"id":"W2747155999","doi":"10.3389/fendo.2017.00211","title":"Grass Carp Follisatin: Molecular Cloning, Functional Characterization, Dopamine D1 Regulation at Pituitary Level, and Implication in Growth Hormone Regulation","year":2017,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health and Medical Research Fund; Food and Health Bureau; York University; University of Hong Kong; National Natural Science Foundation of China; Research Grants Council, University Grants Committee","keywords":"Cloning (programming); Dopamine; Hormone; Growth hormone; Biology; Molecular cloning; Internal medicine; Endocrinology; Gene; Genetics; Medicine; Computer science; Gene expression","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":[0.00009236747,0.0004651847,0.0002202594,0.0003748724,0.0002261282,0.0003104814,0.000266636,0.0003207924,0.001340454],"category_scores_gemma":[0.0000782218,0.0001138368,0.0005208036,0.0003462259,0.0001761855,0.0001912671,0.0001779479,0.0003765454,0.0008083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000670787,"about_ca_system_score_gemma":0.0003412007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003290472,"about_ca_topic_score_gemma":0.003708949,"domain_scores_codex":[0.9999236,0.000003608573,0.000008105379,0.0000261465,0.00001695232,0.00002167962],"domain_scores_gemma":[0.9999431,0.000004845219,0.00001339961,0.000005279729,0.00001020707,0.0000231693],"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":[0.00009904145,0.00001294456,0.0002803113,0.00004091547,0.000004101659,0.0001081302,0.00001575689,0.00005178907,0.9979333,0.00005473325,0.00002313841,0.00137586],"study_design_scores_gemma":[0.00004639378,0.0004400297,0.01946056,0.00001590908,0.00006225718,0.00132844,0.0001093227,0.0008857445,0.9639346,0.000107253,0.01358162,0.00002779421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864763,0.003759862,0.004360046,0.0002202244,0.00003710408,0.0001024948,0.002652511,0.00009655848,0.002294755],"genre_scores_gemma":[0.9536674,0.003412155,0.01507305,0.0001924944,0.00003880168,0.0001083751,0.01154228,0.00006351981,0.01590198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003290472,"threshold_uncertainty_score":0.006542623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179002511547443,"score_gpt":0.2145091206135289,"score_spread":0.1966088694587846,"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."}}