{"id":"W6946455330","doi":"10.3389/fenvs.2022.836640.s003","title":"DataSheet3_RNA Sequencing of Lake Charr Epidermal Mucus to Assess Molecular Effects of Diluted Bitumen Exposure in a Boreal Lake.xlsx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mucus; Ecotoxicology; Toxicity; Bioassay; Ecosystem; Residual oil; Organism; Boreal","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001597859,0.0005190724,0.0008945882,0.0006655784,0.00004989695,0.0002045103,0.003635631,0.0001581903,0.0137581],"category_scores_gemma":[0.002388936,0.0005696297,0.0002296055,0.001322355,0.00002216923,0.0008475452,0.003337497,0.0004537751,0.00009318977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097196,"about_ca_system_score_gemma":0.000706301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001750006,"about_ca_topic_score_gemma":0.0005383935,"domain_scores_codex":[0.9964058,0.0002361035,0.0007464614,0.0009670666,0.001019637,0.0006248768],"domain_scores_gemma":[0.9964706,0.0004165578,0.0005720849,0.002069706,0.0001734373,0.0002975674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009100898,0.0002242674,0.0000290713,0.002741612,0.0000745514,0.001795382,0.00004962349,0.0001986149,0.0001137787,0.00001233488,0.9937848,0.0009668713],"study_design_scores_gemma":[0.001083898,0.0004352184,0.002239485,0.006993622,0.00008592464,0.00005868684,0.00001502356,0.0002659192,0.005642966,0.00005839409,0.9820374,0.001083519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003196947,0.0003855879,0.00001828456,0.00003695539,0.0001773295,0.0008288726,0.9980114,0.0000946155,0.0001272742],"genre_scores_gemma":[0.002241066,0.000003306545,0.0004279196,0.0003502923,0.00003673569,0.0005186243,0.9963707,0.00004087289,0.00001046224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01366491,"threshold_uncertainty_score":0.9996755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953151807395338,"score_gpt":0.2701970379516146,"score_spread":0.2406655198776612,"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."}}