{"id":"W6930375109","doi":"10.5281/zenodo.14025443","title":"RolnickLab/OpenForest: EDS - Zenodo","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Term (time); Noisy data; Noise (video)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001364014,0.00280408,0.001697389,0.005528937,0.0007881303,0.003935265,0.003173401,0.00166665,0.2870357],"category_scores_gemma":[0.004801048,0.0009780104,0.00136638,0.00736364,0.0004980314,0.002619792,0.002851466,0.001488162,0.3048166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127452,"about_ca_system_score_gemma":0.001894396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455233,"about_ca_topic_score_gemma":0.01603192,"domain_scores_codex":[0.9990678,0.000132008,0.00009210164,0.0003058585,0.0002556238,0.0001466098],"domain_scores_gemma":[0.9982784,0.0004118611,0.0001418632,0.0005013123,0.0002606347,0.0004060388],"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":[0.0001159286,0.00002452614,0.0005144533,0.0006326949,0.00004066058,0.0000248946,0.00003695599,0.0005074773,0.0003782614,0.00203532,0.9846008,0.011088],"study_design_scores_gemma":[0.0001358065,0.000009070917,0.001136304,0.0001673141,0.00002277203,0.00003684419,0.00003971229,0.001028738,0.0005649171,0.004816648,0.9920025,0.00003934485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0001850025,0.0001681633,0.001514948,0.0001209849,0.00006637588,0.00002683053,0.9818332,0.009613141,0.006471328],"genre_scores_gemma":[0.0009456435,0.0002112723,0.003090475,0.0001035277,0.00002271631,0.0001125497,0.9855219,0.006634671,0.003357108],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2870357,"threshold_uncertainty_score":0.96023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03934144581316406,"score_gpt":0.2422410056094436,"score_spread":0.2028995597962795,"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."}}