{"id":"W6911255807","doi":"10.5061/dryad.70rxwdbwb","title":"Disentangling interactions among mercury, immunity, and infection in a Neotropical bat community","year":2020,"lang":"en","type":"dataset","venue":"TigerPrints (Clemson University)","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Mercury (programming language); Bartonella; Wildlife; Habitat; Odds; Community","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001430155,0.0002472026,0.0003129653,0.0002389778,0.0005225012,0.00004724433,0.0002977011,0.0001401332,0.001641754],"category_scores_gemma":[0.0001093665,0.0002824157,0.0000768834,0.0005353577,0.0003839801,0.000398866,0.001283952,0.001228684,0.0005595741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004337271,"about_ca_system_score_gemma":0.00001695116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0216703,"about_ca_topic_score_gemma":0.02909671,"domain_scores_codex":[0.9986542,0.0004338722,0.000206694,0.0002697786,0.0001914763,0.0002439457],"domain_scores_gemma":[0.9991472,0.0001586964,0.0001520705,0.0003404488,0.00001084527,0.0001907046],"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":[0.00007073003,0.0002456078,0.3410563,0.00007466049,0.00007740668,0.00009127508,0.001276931,0.00007234238,0.00009088137,0.00002036035,0.6550173,0.001906244],"study_design_scores_gemma":[0.0003257729,0.00004319321,0.3095643,0.0000819518,0.00006506712,0.000005477566,0.0007156806,0.00006577609,0.00001896912,0.00002376857,0.6888318,0.0002582806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.865244,0.000006306652,0.00001991065,0.0001447173,0.0002263462,0.000270851,0.13131,0.00005469546,0.002723099],"genre_scores_gemma":[0.7425333,0.001773205,0.00005626817,0.0002258428,0.00008666817,0.000004803876,0.254581,0.00002959953,0.0007092735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.123271,"threshold_uncertainty_score":0.9999628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536789206108281,"score_gpt":0.254799837672823,"score_spread":0.2294319456117402,"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."}}