{"id":"W3159872122","doi":"10.1016/j.margen.2021.100865","title":"RNA-seq analysis of the mantle transcriptome from Mytilus edulis during a seasonal spawning event in deep and shallow water culture sites on the northeast coast of Newfoundland, Canada","year":2021,"lang":"en","type":"article","venue":"Marine Genomics","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada); Memorial University of Newfoundland; McGill University and Génome Québec Innovation Centre; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Mytilus; Biology; Transcriptome; Mantle (geology); Deep sequencing; Replicate; cDNA library; Mussel; RNA; Ecology; RNA-Seq; Gene; Zoology; Fishery; Gene expression; Genetics; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009636951,0.00009647107,0.0001886427,0.00001659275,0.00009809303,0.000008760162,0.0001564162,0.00004277168,0.003919429],"category_scores_gemma":[0.000008913316,0.0000545679,0.00006580105,0.0001715053,0.000087377,0.00002695605,0.000215861,0.000123597,0.000005080143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784653,"about_ca_system_score_gemma":0.00003750448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2201685,"about_ca_topic_score_gemma":0.9791577,"domain_scores_codex":[0.9992631,0.00005854446,0.0001937332,0.0001777408,0.0001496223,0.0001572399],"domain_scores_gemma":[0.9996866,0.00003224515,0.00005745925,0.0001840513,0.000008073789,0.00003158116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002547346,0.00004915392,0.9641534,0.000004821443,0.00009607593,0.00001342355,0.001767004,0.004193805,0.02947011,0.00001000993,0.00001840711,0.0001983082],"study_design_scores_gemma":[0.0002381114,0.00001083542,0.9887013,0.000005237911,0.0001943235,0.000002771908,0.000781262,0.004410087,0.005412947,0.00008873559,0.0000790379,0.00007532816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991683,0.00001440965,0.00001068111,0.0004287275,0.00005472538,0.00008171996,0.0000401975,0.000001383368,0.0001998002],"genre_scores_gemma":[0.9992566,0.00000974488,0.0000853825,0.0002138384,0.00001100767,0.00000466536,0.00004772991,0.000005541385,0.0003654785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7589892,"threshold_uncertainty_score":0.9969911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005733063324723742,"score_gpt":0.1761047116653332,"score_spread":0.1703716483406095,"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."}}