{"id":"W4403144137","doi":"10.1016/j.jglr.2024.102450","title":"Waterbird disease in the United States Laurentian Great Lakes under climate change","year":2024,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; U.S. Geological Survey; University of Illinois System","keywords":"Climate change; Oceanography; Climatology; Geography; Environmental science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001785155,0.0001410185,0.00024368,0.001316021,0.0001789996,0.0002465895,0.0001915379,0.00006699297,0.0006436094],"category_scores_gemma":[0.00009901221,0.00007294764,0.0001789755,0.001413619,0.0001769904,0.0002705256,0.00005633184,0.0009840432,0.00007683359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142479,"about_ca_system_score_gemma":0.0001099532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003583646,"about_ca_topic_score_gemma":0.0008718309,"domain_scores_codex":[0.9977533,0.0003904087,0.0003613875,0.0001671365,0.0008276736,0.0005000933],"domain_scores_gemma":[0.9988873,0.0002509794,0.00004189272,0.000238996,0.0003249031,0.0002559359],"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":[0.005671643,0.002493602,0.7663783,0.004247891,0.001380249,0.0312572,0.0238759,0.0008209703,0.003874914,0.009235697,0.1183253,0.03243835],"study_design_scores_gemma":[0.004114549,0.005055797,0.4641006,0.006439638,0.0006201934,0.001891753,0.007852831,0.01412611,0.0005220827,0.005130091,0.4895599,0.0005863792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978752,0.002549107,0.0000177228,0.01744417,0.0002682158,0.0003151626,0.00003133906,0.00002746532,0.0005948762],"genre_scores_gemma":[0.9945534,0.003501235,0.00001146926,0.0002926698,0.0006881345,0.00002136913,0.00005118334,0.00002983615,0.0008506645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3712346,"threshold_uncertainty_score":0.7047071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1231816562042656,"score_gpt":0.4062324413988499,"score_spread":0.2830507851945843,"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."}}