{"id":"W2949434924","doi":"10.1038/s41598-019-45271-3","title":"Neuropeptide precursors and neuropeptides in the sea cucumber Apostichopus japonicus: a genomic, transcriptomic and proteomic analysis","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Apostichopus japonicus; Neuropeptide; Biology; Sea cucumber; Transcriptome; Neuropeptide Y receptor; Gene; Genetics; Gene expression; Ecology; Receptor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006747503,0.0004520471,0.0002176241,0.0005752213,0.0002525366,0.0002889622,0.0001186191,0.0002252393,0.0005293649],"category_scores_gemma":[0.0001226082,0.0001441027,0.0003161441,0.0003944581,0.000230764,0.0002171975,0.000199636,0.0002108748,0.0002302172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538816,"about_ca_system_score_gemma":0.0002613106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807805,"about_ca_topic_score_gemma":0.002271616,"domain_scores_codex":[0.9999511,0.000003023373,0.000004931219,0.00001862113,0.00001303648,0.00000937767],"domain_scores_gemma":[0.999873,0.00001794397,0.0000392309,0.000004785458,0.00002425047,0.00004075445],"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":[0.0001339692,0.00001719964,0.00268965,0.0001194157,0.00001078533,0.0002853541,0.00006306732,0.00005047228,0.9951944,0.0000169963,0.00002500752,0.001393682],"study_design_scores_gemma":[0.00004343826,0.0009743024,0.7392637,0.0000639162,0.0002107927,0.003987377,0.00091852,0.002452528,0.2467066,0.000137734,0.00517176,0.00006936768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959621,0.001140027,0.0006634834,0.00004661591,0.00001234932,0.00002529224,0.001613265,0.00001997816,0.0005169587],"genre_scores_gemma":[0.9838653,0.001797049,0.005444244,0.0001379077,0.00003629247,0.00007179654,0.00634493,0.0000254533,0.002277003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001807805,"threshold_uncertainty_score":0.003594577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007780836261460644,"score_gpt":0.1921868792009601,"score_spread":0.1844060429394994,"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."}}