{"id":"W4200618784","doi":"10.1101/2021.12.27.474290","title":"Genome assembly, transcriptome and SNP database for chum salmon ( <i>Oncorhynchus keta</i> )","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Génome Québec; Compute Canada; McGill University","keywords":"Oncorhynchus; Biology; Fish migration; Fishery; Genome; Genetics; Gene; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Genome assembly and SNP resources for chum salmon; genomics of a species, not research infrastructure in the scholarly sense."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"The work creates genomic resources to study chum salmon biology, not research itself."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Species genome assembly and SNP resource for chum salmon biology and fisheries, not research infrastructure studies."}},"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008815045,0.001003763,0.001134005,0.00232132,0.001303015,0.00105424,0.0009747606,0.0008390149,0.007565145],"category_scores_gemma":[0.001647311,0.0006921386,0.0009428388,0.004612174,0.0002426505,0.000542273,0.001027506,0.001321079,0.006511046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008159194,"about_ca_system_score_gemma":0.003001566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01505044,"about_ca_topic_score_gemma":0.03731862,"domain_scores_codex":[0.9994475,0.00003878873,0.0000705748,0.0002456005,0.0001349386,0.00006259896],"domain_scores_gemma":[0.999297,0.0001173363,0.0001674428,0.00009595838,0.0002311141,0.0000910403],"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":[0.00295313,0.0003311017,0.03816554,0.01142856,0.001104794,0.002284042,0.002808391,0.006920445,0.5564445,0.004745313,0.2870342,0.08577993],"study_design_scores_gemma":[0.0006660978,0.0007044525,0.3044135,0.001175815,0.00149548,0.001515397,0.0008908333,0.02320469,0.05179822,0.003836988,0.6099475,0.0003509804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04028471,0.0007949717,0.01146131,0.0001552386,0.00007137377,0.000198275,0.9385916,0.005520152,0.002922342],"genre_scores_gemma":[0.01143579,0.0002232117,0.01507229,0.00005681959,0.00001011565,0.0002582896,0.9715503,0.0005377901,0.0008554824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01505044,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959962124729963,"score_gpt":0.2258680258774241,"score_spread":0.2062684046301244,"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."}}