{"id":"W7037971628","doi":"","title":"Functional genomic and molecular analyses of transcripts related to
\\nglycerol synthesis and trafficking in rainbow smelt (Osmerus mordax)
\\nusing cold temperature-induced models of glycerol production","year":2016,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador; Genome Canada; Canadian Institutes of Health Research; Genome British Columbia","keywords":"Glycerol; Glycerol kinase; Amino acid; Complementary DNA; Gene expression; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006378064,0.0002034741,0.0001626226,0.0002489929,0.0001941419,0.0002538585,0.0001468512,0.0002026582,0.001107859],"category_scores_gemma":[0.00006431556,0.0001529561,0.0003499365,0.0001939485,0.000208409,0.0001532025,0.0002053953,0.0003843282,0.0004819524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002585984,"about_ca_system_score_gemma":0.0001783502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150896,"about_ca_topic_score_gemma":0.003224646,"domain_scores_codex":[0.999938,0.000002491879,0.000004156454,0.000029205,0.00001488888,0.00001124346],"domain_scores_gemma":[0.999936,0.00001341828,0.00002358416,0.000006290834,0.00001065055,0.00001005666],"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":[0.00004808783,0.000004775164,0.0004504384,0.00002503437,0.000002396798,0.00003523614,0.00003321411,0.00003883457,0.9985788,0.00006703366,0.00002279294,0.0006934736],"study_design_scores_gemma":[0.00002958819,0.0006737859,0.2434814,0.00004433952,0.00008407337,0.0004520924,0.0005536228,0.001563271,0.7435097,0.000266488,0.009305772,0.00003592854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991654,0.0007129616,0.002867211,0.00008910141,0.00002404994,0.00002878448,0.00306599,0.00006282223,0.001495107],"genre_scores_gemma":[0.959357,0.001543517,0.006210292,0.0002711442,0.00002339241,0.0001955629,0.0117994,0.00009965653,0.02049989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150896,"threshold_uncertainty_score":0.003706217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05650106180786171,"score_gpt":0.2424356742802465,"score_spread":0.1859346124723848,"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."}}