{"id":"W3184258482","doi":"10.1111/ibi.12997","title":"The reuse of avian samples: opportunities, pitfalls, and a solution","year":2021,"lang":"en","type":"article","venue":"Ibis","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Grantová Agentura České Republiky","keywords":"Reuse; Metadata; Sample (material); Data science; Computer science; Globe; World Wide Web; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001987993,0.00003998139,0.0000705571,0.00000831013,0.0001115222,0.00001152283,0.000144922,0.00002783301,0.0008047388],"category_scores_gemma":[0.0002053216,0.00003067508,0.00002373854,0.00008002845,0.0002247624,0.00005212263,0.0002825751,0.00003983354,0.00003249378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003887117,"about_ca_system_score_gemma":0.00001423292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003530841,"about_ca_topic_score_gemma":0.002651071,"domain_scores_codex":[0.9994967,0.00006438061,0.0001152029,0.0001127694,0.00009555312,0.0001154247],"domain_scores_gemma":[0.999489,0.00009915646,0.00004611111,0.0003288716,0.000007585592,0.00002923901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005309293,0.0003853659,0.5837428,0.00002926976,0.0002352432,0.0001838521,0.006615947,0.0002066569,0.05538572,0.02050854,0.1111611,0.2214924],"study_design_scores_gemma":[0.0003901659,0.0001220602,0.3991958,0.00001766052,0.00008975263,0.00005635003,0.00247576,0.0008816183,0.008576359,0.008406519,0.5795406,0.0002474122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980077,0.0002511064,0.0002804552,0.003484251,0.00007704237,0.00005856888,0.000006713707,0.0000108194,0.01575406],"genre_scores_gemma":[0.9935778,0.0005875137,0.0009575572,0.0003119955,0.00001229485,0.000004497302,0.000005517225,0.000004113138,0.004538707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4683794,"threshold_uncertainty_score":0.8811325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528056158201914,"score_gpt":0.2362683701870672,"score_spread":0.2009878086050481,"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."}}