{"id":"W4391682457","doi":"10.24072/pci.animsci.100198","title":"Towards models of infection transmission dynamics","year":2024,"lang":"en","type":"article","venue":"Peer Community In Animal Science","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","keywords":"Transmission (telecommunications); Population; Herd immunity; Computer science; Risk analysis (engineering); Representation (politics); Data science; Management science; Environmental health; Business; Medicine; Engineering; Telecommunications; Political science","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":[0.002149204,0.001582958,0.00158299,0.001491392,0.0008245414,0.003041312,0.003298391,0.003919568,0.007618426],"category_scores_gemma":[0.0102626,0.0009755903,0.002621704,0.001492176,0.001893427,0.004431795,0.003054795,0.00409384,0.002576478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002492115,"about_ca_system_score_gemma":0.001738278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008191302,"about_ca_topic_score_gemma":0.003505941,"domain_scores_codex":[0.9987852,0.0006555313,0.00005472973,0.0001643649,0.0002187222,0.0001214431],"domain_scores_gemma":[0.9967282,0.002037037,0.0003874534,0.0002079123,0.0004556667,0.000183687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001883548,0.00002818973,0.0006551026,0.0001394271,0.00005323131,0.0001389752,0.0002449023,0.2355888,0.0003579042,0.750669,0.00631207,0.005793568],"study_design_scores_gemma":[0.00001364541,0.00001588143,0.0001158655,0.00004994642,0.00001346359,0.00004552686,0.00004950101,0.5073951,0.00005507101,0.4783848,0.01384444,0.00001691498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01024285,0.004604848,0.9336435,0.006688321,0.0008821834,0.00009509562,0.001063642,0.0004476456,0.04233182],"genre_scores_gemma":[0.462676,0.01713747,0.4207042,0.00474042,0.003233076,0.001540131,0.002357692,0.0009388722,0.08667216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008191302,"threshold_uncertainty_score":0.02548617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07538438496298018,"score_gpt":0.3088482068554121,"score_spread":0.233463821892432,"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."}}