{"id":"W4393643403","doi":"10.5281/zenodo.10520530","title":"Whirling disease test results at Oldman River along with environmental variables","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Test (biology); Mathematics; Statistics; Geography; Geology; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000789381,0.001014044,0.0008143473,0.001831221,0.0004666715,0.001125717,0.00152954,0.001192749,0.01050173],"category_scores_gemma":[0.003239395,0.0003165543,0.0007713318,0.002914302,0.0002600897,0.0005852942,0.0009058132,0.0009522099,0.01262871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287327,"about_ca_system_score_gemma":0.001742903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07793578,"about_ca_topic_score_gemma":0.1610871,"domain_scores_codex":[0.9992766,0.0001024061,0.00007155086,0.0002227922,0.0002207742,0.000105963],"domain_scores_gemma":[0.9988029,0.0003015666,0.0001400346,0.0002058681,0.0004323968,0.0001171652],"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":[0.0001447159,0.00007022882,0.01980026,0.0005507529,0.0001148216,0.0001079789,0.00005944558,0.00160557,0.0003135185,0.0003780344,0.9680743,0.008780403],"study_design_scores_gemma":[0.0003228111,0.00008260628,0.1317482,0.0006421835,0.0001362849,0.0002705504,0.0003685185,0.004216783,0.001216706,0.001509511,0.8593882,0.00009759144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002924189,0.0001573026,0.0001369431,0.00008433071,0.00003324558,0.00001316024,0.9954799,0.0002457113,0.0009250869],"genre_scores_gemma":[0.002140214,0.00004213071,0.000267769,0.00003215419,0.000006445463,0.0000257422,0.9968864,0.00002082274,0.0005783001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07793578,"threshold_uncertainty_score":0.1549643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651782819235013,"score_gpt":0.2089357320164255,"score_spread":0.1824179038240753,"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."}}