{"id":"W6969214591","doi":"10.5683/sp3/87hrgh","title":"Development of a decision support tool to compare testing strategies for establishing the herd status for infectious diseases: an example with Salmonella Dublin infection","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Decision support system; Herd; Herd immunity; Salmonella; Decision aids","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":[0.005427368,0.001580316,0.001075596,0.003573783,0.0007825244,0.001859195,0.003084271,0.002237742,0.04026297],"category_scores_gemma":[0.02269414,0.0007227034,0.002352284,0.003395089,0.0003210672,0.001242222,0.001467564,0.001604819,0.01504952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003047242,"about_ca_system_score_gemma":0.003370246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05563724,"about_ca_topic_score_gemma":0.1173862,"domain_scores_codex":[0.9975035,0.0008619184,0.0003493959,0.0005138834,0.0005864475,0.0001849442],"domain_scores_gemma":[0.9884371,0.007551623,0.0006529827,0.001313978,0.001600051,0.0004442313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002926502,0.0001509732,0.008135547,0.00159756,0.0002675386,0.00006579988,0.0000639551,0.005423882,0.0001639758,0.001497257,0.9731904,0.009150576],"study_design_scores_gemma":[0.002535848,0.0001420086,0.02375324,0.001298774,0.0004103869,0.0001664085,0.0005282745,0.02365604,0.001457304,0.0107059,0.9351835,0.0001621936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000867729,0.00006649084,0.0006105655,0.0003516788,0.00005878724,0.00007222718,0.9959656,0.0007642554,0.001242645],"genre_scores_gemma":[0.00358502,0.00005605505,0.005875452,0.0002023938,0.00001432773,0.0003784562,0.9890217,0.0001200856,0.0007464803],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05563724,"threshold_uncertainty_score":0.134693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10852855680863,"score_gpt":0.3679509180413209,"score_spread":0.2594223612326909,"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."}}