{"id":"W2951588479","doi":"10.1101/095737","title":"Functional Analysis of All Salmonid Genomes (FAASG): an international initiative supporting future salmonid research, conservation and aquaculture","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland; Genome British Columbia; Université Laval; University of Alberta; University of Victoria; Simon Fraser University","funders":"","keywords":"Biology; Genome; Aquaculture; Leverage (statistics); Evolutionary biology; Data science; Fish <Actinopterygii>; Fishery; Genetics; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004640419,0.0007428858,0.0004861569,0.001732734,0.0008023172,0.001360657,0.0007420947,0.0007994663,0.002691141],"category_scores_gemma":[0.002077985,0.0002177731,0.0009284539,0.001492395,0.0005852741,0.001058012,0.001983731,0.001266469,0.0006867537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006793623,"about_ca_system_score_gemma":0.00228287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002527173,"about_ca_topic_score_gemma":0.00284894,"domain_scores_codex":[0.9991972,0.000194002,0.00004505847,0.0002295839,0.0002216631,0.0001125498],"domain_scores_gemma":[0.9982349,0.0003034439,0.000243709,0.0002575619,0.0003683531,0.0005921007],"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":[0.001682916,0.0002995978,0.04304054,0.001310952,0.0006129887,0.0006465656,0.001040508,0.003869727,0.6512035,0.02195923,0.03644933,0.2378842],"study_design_scores_gemma":[0.0003224686,0.001112134,0.2551404,0.000565147,0.0004718433,0.001821229,0.001457316,0.01300451,0.2267369,0.03377101,0.4654036,0.0001934198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7098599,0.01619433,0.1505803,0.01960196,0.001410385,0.0003916227,0.07595908,0.004726598,0.0212759],"genre_scores_gemma":[0.5879684,0.004491027,0.2804005,0.002568498,0.0004416821,0.0003242779,0.1162524,0.0009267828,0.006626305],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004640419,"threshold_uncertainty_score":0.02454114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577677170118336,"score_gpt":0.2775109396776779,"score_spread":0.2417341679764946,"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."}}