{"id":"W4402542097","doi":"10.1093/jas/skae234.209","title":"168 American mink Genome Sequencing Project","year":2024,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mink; American mink; Biology; Genome; Computational biology; Genome project; DNA sequencing; Genetics; Evolutionary biology; DNA; Gene; Ecology","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":[0.001118248,0.0008494654,0.0007766663,0.002777216,0.001150051,0.001321055,0.0008919414,0.0007425192,0.01577208],"category_scores_gemma":[0.001273523,0.00041601,0.0009006668,0.004496849,0.0001846526,0.0005931827,0.001004196,0.001134232,0.01122914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674309,"about_ca_system_score_gemma":0.003434188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02133128,"about_ca_topic_score_gemma":0.03164141,"domain_scores_codex":[0.9989974,0.0001161756,0.00007853934,0.0003771906,0.0003178681,0.0001129631],"domain_scores_gemma":[0.9990125,0.00007885582,0.00008832292,0.0001165794,0.0005310672,0.0001726255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003430031,0.0004425287,0.02932411,0.002852661,0.0005523845,0.0008953353,0.001253795,0.003885349,0.275381,0.00554925,0.2747217,0.4017118],"study_design_scores_gemma":[0.000280428,0.0002581411,0.1132139,0.000283432,0.0003207382,0.0005102667,0.0003517606,0.005409292,0.03549989,0.001818916,0.8419559,0.00009725514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1507454,0.004598139,0.04429414,0.001841431,0.0008142634,0.001998471,0.735204,0.008446874,0.05205727],"genre_scores_gemma":[0.04007413,0.001107528,0.0506079,0.0004029465,0.00007529258,0.0008632535,0.8899719,0.0007702938,0.01612674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02133128,"threshold_uncertainty_score":0.05276287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699148188462711,"score_gpt":0.3293007008918155,"score_spread":0.3123092190071884,"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."}}