{"id":"W7086971055","doi":"10.18739/a2222r79t","title":"Waterfowl Population Status Reports (2021-2025)","year":2025,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waterfowl; Wildlife; Population; Wildlife conservation; Service (business); Wildlife management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000065187,0.0004200364,0.0003337676,0.0001471841,0.00008792264,0.0004400085,0.0003266296,0.0005795615,0.0004358839],"category_scores_gemma":[0.0003059405,0.0003823215,0.0001923923,0.0001527796,0.00005754032,0.00003609045,0.0008138082,0.0003728616,0.0002167443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002159597,"about_ca_system_score_gemma":0.0002474031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808089,"about_ca_topic_score_gemma":0.00000169972,"domain_scores_codex":[0.998092,0.0000393055,0.0006796573,0.0005099063,0.0002393696,0.0004397832],"domain_scores_gemma":[0.9983454,0.00002099464,0.0003542538,0.001067884,0.0000317127,0.0001797576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003754483,0.00004248924,0.004624572,0.000242811,0.0000667172,0.00004496687,0.000001270283,0.00002814117,0.000007679382,0.000001949477,0.9930777,0.00182415],"study_design_scores_gemma":[0.0001278145,0.0000663831,0.0001139629,0.00009220603,0.00003627576,0.0000369316,0.000004444075,0.0000303292,0.0002410981,0.00007749198,0.9987542,0.0004188831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005928165,0.0003974899,0.00006255386,0.00008619456,0.0005012659,0.0002624233,0.9926999,0.00005179118,0.00534556],"genre_scores_gemma":[0.0007689093,0.0002499549,0.0002534248,0.0005758493,0.0004368238,0.00002293405,0.9919622,0.00003226474,0.005697649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00567647,"threshold_uncertainty_score":0.9998628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00314938881548295,"score_gpt":0.2156341398708625,"score_spread":0.2124847510553795,"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."}}