{"id":"W3169368580","doi":"10.3390/insects12060519","title":"Reference Transcriptome Data in Silkworm Bombyx mori","year":2021,"lang":"en","type":"article","venue":"Insects","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Bioscience Database Center; Institute of Genetics; Bio-oriented Technology Research Advancement Institution; Japan Science and Technology Agency; Ministry of Agriculture, Forestry and Fisheries; Cabinet Office, Government of Japan; Research Organization of Information and Systems","keywords":"Biology; Transcriptome; Bombyx mori; Gene; Bombyx; Genome; Computational biology; Gene expression; Genetics; Midgut; RNA-Seq; De novo transcriptome assembly; Larva; Botany","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":[0.000388569,0.0005694269,0.0005738739,0.001170233,0.0006373224,0.0006553777,0.0003201304,0.0003754431,0.001854669],"category_scores_gemma":[0.0006431625,0.0002480219,0.0006926899,0.001662654,0.0001574055,0.0003327194,0.000438305,0.0005578046,0.00100976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004724706,"about_ca_system_score_gemma":0.0007070144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002855999,"about_ca_topic_score_gemma":0.005921125,"domain_scores_codex":[0.9995868,0.00003862286,0.0000390554,0.000163091,0.0001209797,0.00005146908],"domain_scores_gemma":[0.9996855,0.00005765641,0.00006071724,0.00004928765,0.0001212366,0.00002567409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004437839,0.00004231626,0.006356996,0.001138657,0.0001217361,0.0003019643,0.0002637314,0.001586964,0.9576931,0.0005553633,0.003303855,0.02819164],"study_design_scores_gemma":[0.0001155294,0.0005355956,0.2897319,0.0004045514,0.0009190991,0.002060386,0.0008648753,0.01722537,0.4557046,0.002362624,0.2299123,0.0001630924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6589981,0.01202216,0.0745979,0.0003348251,0.0002926879,0.0002205266,0.2426576,0.002416212,0.008459982],"genre_scores_gemma":[0.3223742,0.006278511,0.06905865,0.0003188546,0.00006427986,0.0005604459,0.5961899,0.0008743224,0.004280813],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002855999,"threshold_uncertainty_score":0.006204426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07481795485811092,"score_gpt":0.3054324670014481,"score_spread":0.2306145121433372,"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."}}