{"id":"W3010411785","doi":"10.7287/peerj.8684v0.1/reviews/1","title":"Peer Review #1 of \"Comprehensive phenotyping and transcriptome profiling to study nanotoxicity in C. elegans (v0.1)\"","year":2020,"lang":"en","type":"peer-review","venue":"","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Genome Canada","keywords":"Profiling (computer programming); Computational biology; Transcriptome; Nanotoxicology; Biology; Computer science; Genetics; Chemistry; Gene","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007746731,0.001108207,0.001245971,0.005289411,0.003245189,0.004938109,0.002211533,0.002182459,0.216864],"category_scores_gemma":[0.04537162,0.0006471657,0.0007260096,0.002404821,0.001316,0.003323379,0.004420673,0.001308089,0.1238929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766452,"about_ca_system_score_gemma":0.009586792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004220278,"about_ca_topic_score_gemma":0.01123007,"domain_scores_codex":[0.9915662,0.001306268,0.000674117,0.0005760998,0.005358737,0.0005185253],"domain_scores_gemma":[0.9026034,0.005560618,0.002149055,0.003920058,0.08007668,0.005690188],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005131897,0.00002793409,0.0007931518,0.001123804,0.00002259591,0.0002663853,0.0001685333,0.0001163126,0.002596322,0.0008138408,0.8969184,0.09710144],"study_design_scores_gemma":[0.00001537658,0.00002364486,0.001696495,0.0003110188,0.00001788924,0.000163876,0.0001450795,0.0003340618,0.001773489,0.0005625786,0.9949297,0.00002690646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02491872,0.02216273,0.03220488,0.1134111,0.3516842,0.007998048,0.0329918,0.01403675,0.4005919],"genre_scores_gemma":[0.05249817,0.01890683,0.02067513,0.006640042,0.0329947,0.002095625,0.02484165,0.00731437,0.8340335],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9922532,"threshold_uncertainty_score":0.7254825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993912577059767,"score_gpt":0.3174181902797776,"score_spread":0.2774790645091799,"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."}}