{"id":"W2772346041","doi":"10.1142/s0218339017400083","title":"CRITICAL CONTACT RATE FOR VECTOR–HOST–PATHOGEN OSCILLATION INVOLVING CO-FEEDING AND DIAPAUSE","year":2017,"lang":"en","type":"article","venue":"Journal of Biological Systems","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Vector (molecular biology); Diapause; Biology; Host (biology); Transmission (telecommunications); Population; Ecology; Computer science; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078752,0.0001013586,0.0004065235,0.00006348933,0.0003532047,0.0001696468,0.00006658777,0.0001461432,0.00001191581],"category_scores_gemma":[0.003205964,0.00005958072,0.000120982,0.00002482994,0.00008798232,0.0001955322,0.00002181076,0.0001682625,0.000002450918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006231267,"about_ca_system_score_gemma":0.00002684135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003477558,"about_ca_topic_score_gemma":0.000001823408,"domain_scores_codex":[0.9991181,0.00008320338,0.0004113067,0.0001195037,0.00009863201,0.0001692836],"domain_scores_gemma":[0.9987101,0.0003934094,0.0003421746,0.000111519,0.0002703117,0.0001724924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002783729,0.0000629339,0.3134088,0.0001119583,0.00007687324,0.00004286455,0.00006046576,0.000001993828,0.6819172,0.003330055,0.0004068335,0.0003017109],"study_design_scores_gemma":[0.001701104,0.003771212,0.9824534,0.0005506531,0.0001162805,0.0008608307,0.0002537391,0.001197225,0.001496643,0.0001544992,0.007287151,0.0001572493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956698,0.0009058254,0.001255679,0.000670987,0.0009654597,0.000250622,0.00001567131,0.00001278712,0.0002531282],"genre_scores_gemma":[0.9984853,0.0001628651,0.0001011832,0.0000524483,0.001150324,0.000005416917,0.000002495673,0.000007163805,0.00003282109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6804205,"threshold_uncertainty_score":0.383807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070685254505165,"score_gpt":0.3757174019542931,"score_spread":0.2686488765037766,"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."}}