{"id":"W2969769219","doi":"10.1093/jmammal/gyz111","title":"Curatorial guidelines and standards of the American Society of Mammalogists for collections of genetic resources","year":2019,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Accreditation; Library science; Political science; Computer science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004399079,0.00005653458,0.0002442914,0.0000201655,0.00004279521,0.000004566033,0.0001485197,0.0000321447,0.001099551],"category_scores_gemma":[0.0001575872,0.00003778133,0.0001532919,0.0002155065,0.0004322441,0.00003028557,0.00007040528,0.00005274652,5.474427e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209278,"about_ca_system_score_gemma":0.00004397951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027821,"about_ca_topic_score_gemma":0.0001368695,"domain_scores_codex":[0.9990135,0.00003976066,0.0004437536,0.00006670221,0.0003421563,0.00009412872],"domain_scores_gemma":[0.9987704,0.00007988722,0.0007762921,0.0001019726,0.0002402645,0.00003120567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009484979,0.0002087959,0.5149966,0.0001581161,0.0001710685,8.343301e-7,0.001235452,0.0007208741,0.2408968,0.0004761376,0.2372725,0.002914258],"study_design_scores_gemma":[0.002199455,0.001722646,0.6745688,0.00004967881,0.0001111628,0.00007545714,0.004883805,0.0001962838,0.01630701,0.0005701455,0.2991771,0.0001383671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977844,0.0001136386,0.0002804399,0.0005687939,0.0002575716,0.0001065442,0.000184734,0.000001152279,0.0007026944],"genre_scores_gemma":[0.9985248,0.0002677639,0.0008666839,0.00007505,0.00007421697,0.000001336667,5.789552e-7,0.000004752829,0.0001848564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2245898,"threshold_uncertainty_score":0.9998136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014022198818968,"score_gpt":0.2986462226496233,"score_spread":0.2685060006614337,"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."}}